diff --git a/TestON/JenkinsFile/wikiGraphRScripts/README.md b/TestON/JenkinsFile/wikiGraphRScripts/README.md
new file mode 100644
index 0000000..dab3f68
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/README.md
@@ -0,0 +1,23 @@
+<h1>Wiki Graph Scripts</h1>
+
+The scripts that generate the graphs are written in the R programming language.
+
+The scripts are structured in the following format:
+1. Data Management
+    * Data is obtained from the databases through SQL. CLI arguments, filename, and titles are also handled here.
+        1. Importing libraries
+        2. Command line arguments
+        3. Title of the graph
+        4. Filename
+        5. SQL Initialization and Data Gathering
+2. Organize Data
+    * Raw data is sorted into a data frame.  The data frame is used in generating the graph.
+        1. Combining data into a single list.
+        2. Using the list to construct a data frame
+        3. Adding data as columns to the data frame
+3. Generate Graphs
+    * The graphs are formatted and constructed here.
+        1. Main plot generated
+        2. Fundamental variables assigned
+        3. Generate specific graph format
+        4. Exporting graph to file
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFIntentInstallWithdrawRerouteLat.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFIntentInstallWithdrawRerouteLat.R
new file mode 100644
index 0000000..6f67b0d
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFIntentInstallWithdrawRerouteLat.R
@@ -0,0 +1,386 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+has_flow_obj = 1
+database_host = 2
+database_port = 3
+database_u_id = 4
+database_pw = 5
+test_name = 6
+branch_name = 7
+batch_size = 8
+old_flow = 9
+save_directory = 10
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( is.na( args[ save_directory ] ) ){
+
+    print( paste( "Usage: Rscript SCPFIntentInstallWithdrawRerouteLat.R",
+                                  "<isFlowObj>" ,
+                                  "<database-host>",
+                                  "<database-port>",
+                                  "<database-user-id>",
+                                  "<database-password>",
+                                  "<test-name>",
+                                  "<branch-name>",
+                                  "<batch-size>",
+                                  "<using-old-flow>",
+                                  "<directory-to-save-graphs>",
+                                  sep=" " ) )
+    quit( status = 1 )  # basically exit(), but in R
+}
+
+# -----------------------------------
+# Create File Name and Title of Graph
+# -----------------------------------
+
+print( "Creating filename and title of graph." )
+
+chartTitle <- "Intent Install, Withdraw, & Reroute Latencies"
+flowObjFileModifier <- ""
+errBarOutputFile <- paste( args[ save_directory ],
+                    "SCPFIntentInstallWithdrawRerouteLat_",
+                    args[ branch_name ],
+                    sep="" )
+
+if ( args[ has_flow_obj ] == "y" ){
+    errBarOutputFile <- paste( errBarOutputFile, "_fobj", sep="" )
+    flowObjFileModifier <- "fobj_"
+    chartTitle <- paste( chartTitle, "w/ FlowObj" )
+}
+if ( args[ old_flow ] == "y" ){
+    errBarOutputFile <- paste( errBarOutputFile, "_OldFlow", sep="" )
+    chartTitle <- paste( chartTitle,
+                         "With Eventually Consistent Flow Rule Store",
+                         sep="\n" )
+}
+errBarOutputFile <- paste( errBarOutputFile,
+                           "_",
+                           args[ batch_size ],
+                           "-batchSize_graph.jpg",
+                           sep="" )
+
+chartTitle <- paste( chartTitle,
+                     "\nBatch Size =",
+                     args[ batch_size ],
+                     sep=" " )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- dbConnect( dbDriver( "PostgreSQL" ),
+                  dbname = "onostest",
+                  host = args[ database_host ],
+                  port = strtoi( args[ database_port ] ),
+                  user = args[ database_u_id ],
+                  password = args[ database_pw ] )
+
+# ---------------------------------------
+# Intent Install and Withdraw SQL Command
+# ---------------------------------------
+print( "Generating Intent Install and Withdraw SQL Command" )
+
+installWithdrawSQLCommand <- paste( "SELECT * FROM intent_latency_",
+                                    flowObjFileModifier,
+                                    "tests WHERE batch_size=",
+                                    args[ batch_size ],
+                                    " AND branch = '",
+                                    args[ branch_name ],
+                                    "' AND date IN ( SELECT MAX( date ) FROM intent_latency_",
+                                    flowObjFileModifier,
+                                    "tests WHERE branch='",
+                                    args[ branch_name ],
+                                    "' AND ",
+                                    ( if( args[ old_flow ] == 'y' ) "" else "NOT " ) ,
+                                    "is_old_flow",
+                                    ")",
+                                    sep="" )
+
+print( "Sending Intent Install and Withdraw SQL command:" )
+print( installWithdrawSQLCommand )
+installWithdrawData <- dbGetQuery( con, installWithdrawSQLCommand )
+
+# --------------------------
+# Intent Reroute SQL Command
+# --------------------------
+
+print( "Generating Intent Reroute SQL Command" )
+
+rerouteSQLCommand <- paste( "SELECT * FROM intent_reroute_latency_",
+                            flowObjFileModifier,
+                            "tests WHERE batch_size=",
+                            args[ batch_size ],
+                            " AND branch = '",
+                            args[ branch_name ],
+                            "' AND date IN ( SELECT MAX( date ) FROM intent_reroute_latency_",
+                            flowObjFileModifier,
+                            "tests WHERE branch='",
+                            args[ branch_name ],
+                            "' AND ",
+                            ( if( args[ old_flow ] == 'y' ) "" else "NOT " ) ,
+                            "is_old_flow",
+                            ")",
+                            sep="" )
+
+print( "Sending Intent Reroute SQL command:" )
+print( rerouteSQLCommand )
+rerouteData <- dbGetQuery( con, rerouteSQLCommand )
+
+# **********************************************************
+# STEP 2: Organize Data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# -------------------------------------------------------
+# Combining Install, Withdraw, and Reroute Latencies Data
+# -------------------------------------------------------
+
+print( "Combining Install, Withdraw, and Reroute Latencies Data" )
+
+if ( ncol( rerouteData ) == 0 ){  # Checks if rerouteData exists, so we can exclude it if necessary
+
+    requiredColumns <- c( "install_avg",
+                          "withdraw_avg"  )
+
+    tryCatch( avgs <- c( installWithdrawData[ requiredColumns] ),
+              error = function( e ) {
+                  print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+                  print( "Required columns: " )
+                  print( requiredColumns )
+                  print( "Actual columns: " )
+                  print( names( fileData ) )
+                  print( "Error dump:" )
+                  print( e )
+                  quit( status = 1 )
+              }
+             )
+} else{
+    colnames( rerouteData ) <- c( "date",
+                                  "name",
+                                  "date",
+                                  "branch",
+                                  "is_old_flow",
+                                  "commit",
+                                  "scale",
+                                  "batch_size",
+                                  "reroute_avg",
+                                  "reroute_std" )
+
+    tryCatch( avgs <- c( installWithdrawData[ 'install_avg' ],
+                         installWithdrawData[ 'withdraw_avg' ],
+                         rerouteData[ 'reroute_avg' ] ),
+              error = function( e ) {
+                  print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+                  print( "Required columns: " )
+                  print( requiredColumns )
+                  print( "Actual columns: " )
+                  print( names( fileData ) )
+                  print( "Error dump:" )
+                  print( e )
+                  quit( status = 1 )
+              }
+             )
+
+}
+
+# Combine lists into data frames.
+dataFrame <- melt( avgs )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing data frame." )
+
+if ( ncol( rerouteData ) == 0 ){  # Checks if rerouteData exists (due to batch size) for the dataFrame this time
+    dataFrame$scale <- c( installWithdrawData$scale,
+                          installWithdrawData$scale )
+
+    dataFrame$stds <- c( installWithdrawData$install_std,
+                         installWithdrawData$withdraw_std )
+} else{
+    dataFrame$scale <- c( installWithdrawData$scale,
+                          installWithdrawData$scale,
+                          rerouteData$scale )
+
+    dataFrame$stds <- c( installWithdrawData$install_std,
+                         installWithdrawData$withdraw_std,
+                         rerouteData$reroute_std )
+}
+
+colnames( dataFrame ) <- c( "ms",
+                            "type",
+                            "scale",
+                            "stds" )
+
+# Format data frame so that the data is in the same order as it appeared in the file.
+dataFrame$type <- as.character( dataFrame$type )
+dataFrame$type <- factor( dataFrame$type, levels=unique( dataFrame$type ) )
+
+dataFrame <- na.omit( dataFrame ) # Omit any data that doesn't exist
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graph.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# -------------------
+# Main Plot Generated
+# -------------------
+
+print( "Creating the main plot." )
+
+mainPlot <- ggplot( data = dataFrame, aes( x = scale,
+                                           y = ms,
+                                           ymin = ms,
+                                           ymax = ms + stds,
+                                           fill = type ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+theme_set( theme_grey( base_size = 22 ) )
+barWidth <- 1.3
+xScaleConfig <- scale_x_continuous( breaks = c( 1, 3, 5, 7, 9) )
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Latency (ms)" )
+fillLabel <- labs( fill="Type" )
+imageWidth <- 15
+imageHeight <- 10
+imageDPI <- 200
+errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
+
+theme <- theme( plot.title=element_text( hjust = 0.5, size = 32, face='bold' ),
+                legend.position="bottom",
+                legend.text=element_text( size=22 ),
+                legend.title = element_blank(),
+                legend.key.size = unit( 1.5, 'lines' ),
+                plot.subtitle = element_text( size=16, hjust=1.0 ) )
+
+subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
+
+title <- labs( title = chartTitle, subtitle = subtitle )
+
+colors <- scale_fill_manual( values=c( "#F77670",
+                                       "#619DFA",
+                                       "#18BA48" ) )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        title +
+                        colors
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+print( "Generating bar graph with error bars." )
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            width = barWidth,
+                            position = "dodge" )
+
+errorBarFormat <- geom_errorbar( width = barWidth,
+                                 position = position_dodge( barWidth ),
+                                 color = errorBarColor )
+
+values <- geom_text( aes( x = dataFrame$scale,
+                          y = dataFrame$ms + 0.035 * max( dataFrame$ms ),
+                          label = format( dataFrame$ms,
+                                          digits = 3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          position = position_dodge( width = barWidth ),
+                          size = 5.5,
+                          fontface = "bold" )
+
+wrapLegend <- guides( fill = guide_legend( nrow = 1, byrow = TRUE ) )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          values +
+          wrapLegend
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
+
+tryCatch( ggsave( errBarOutputFile,
+                  width = imageWidth,
+                  height = imageHeight,
+                  dpi = imageDPI ),
+          error = function( e ){
+              print( "[ERROR] There was a problem saving the graph due to a graph formatting exception.  Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+        )
+
+print( paste( "[SUCCESS] Successfully wrote bar chart with error bars out to", errBarOutputFile ) )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFbatchFlowResp.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFbatchFlowResp.R
new file mode 100644
index 0000000..0b68425
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFbatchFlowResp.R
@@ -0,0 +1,372 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+#
+# Example script:
+# Single Bench Flow Latency Graph with Eventually Consistent Flow Rule Store (https://jenkins.onosproject.org/view/QA/job/postjob-BM/lastSuccessfulBuild/artifact/SCPFbatchFlowResp_master_OldFlow_PostGraph.jpg):
+# Rscript SCPFbatchFlowResp.R <url> <port> <username> <pass> SCPFbatchFlowResp.R master y /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+old_flow <- 7
+save_directory <- 8
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    usage( "SCPFbatchFlowResp.R", c( "using-old-flow" ) )
+    quit( status = 1 )
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+postOutputFile <- paste( args[ save_directory ],
+                         args[ graph_title ],
+                         "_",
+                         args[ branch_name ],
+                         if( args[ old_flow ] == "y" ) "_OldFlow" else "",
+                         "_PostGraph.jpg",
+                         sep="" )
+
+delOutputFile <- paste( args[ save_directory ],
+                        args[ graph_title ],
+                        "_",
+                        args[ branch_name ],
+                        if( args[ old_flow ] == "y" ) "_OldFlow" else "",
+                        "_DelGraph.jpg",
+                        sep="" )
+
+postChartTitle <- paste( "Single Bench Flow Latency - Post\n",
+                         "Last 3 Builds",
+                         if( args[ old_flow ] == "y" ) "\nWith Eventually Consistent Flow Rule Store" else "",
+                         sep = "" )
+delChartTitle <- paste( "Single Bench Flow Latency - Del\n",
+                        "Last 3 Builds",
+                        if( args[ old_flow ] == "y" ) "\nWith Eventually Consistent Flow Rule Store" else "",
+                        sep = "" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ---------------------------
+# Batch Flow Resp SQL Command
+# ---------------------------
+
+print( "Generating Batch Flow Resp SQL Command" )
+
+command <- paste( "SELECT * FROM batch_flow_tests WHERE branch='",
+                  args[ branch_name ],
+                  "' AND " ,
+                  ( if( args[ old_flow ] == 'y' ) "" else "NOT " ) ,
+                  "is_old_flow",
+                  " ORDER BY date DESC LIMIT 3",
+                  sep="" )
+
+fileData <- retrieveData( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# -----------------
+# Post Data Sorting
+# -----------------
+
+print( "Sorting data for Post." )
+
+requiredColumns <- c( "posttoconfrm", "elapsepost" )
+
+tryCatch( postAvgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# -------------------------
+# Post Construct Data Frame
+# -------------------------
+
+postDataFrame <- melt( postAvgs )
+postDataFrame$scale <- fileData$scale
+postDataFrame$date <- fileData$date
+postDataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
+
+colnames( postDataFrame ) <- c( "ms",
+                                "type",
+                                "scale",
+                                "date",
+                                "iterative" )
+
+# Format data frame so that the data is in the same order as it appeared in the file.
+postDataFrame$type <- as.character( postDataFrame$type )
+postDataFrame$type <- factor( postDataFrame$type,
+                              levels = unique( postDataFrame$type ) )
+
+postDataFrame <- na.omit( postDataFrame )   # Omit any data that doesn't exist
+
+print( "Post Data Frame Results:" )
+print( postDataFrame )
+
+# ----------------
+# Del Data Sorting
+# ----------------
+
+requiredColumns <- c( "deltoconfrm", "elapsedel" )
+
+tryCatch( delAvgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+
+# ------------------------
+# Del Construct Data Frame
+# ------------------------
+
+delDataFrame <- melt( delAvgs )
+delDataFrame$scale <- fileData$scale
+delDataFrame$date <- fileData$date
+delDataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
+
+colnames( delDataFrame ) <- c( "ms",
+                               "type",
+                               "scale",
+                               "date",
+                               "iterative" )
+
+# Format data frame so that the data is in the same order as it appeared in the file.
+delDataFrame$type <- as.character( delDataFrame$type )
+delDataFrame$type <- factor( delDataFrame$type,
+                             levels = unique( delDataFrame$type ) )
+
+delDataFrame <- na.omit( delDataFrame )   # Omit any data that doesn't exist
+
+print( "Del Data Frame Results:" )
+print( delDataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------------------------------
+# Initializing variables used in both graphs
+# ------------------------------------------
+
+print( "Initializing variables used in both graphs." )
+
+defaultTextSize()
+xLabel <- xlab( "Build Date" )
+yLabel <- ylab( "Latency (ms)" )
+fillLabel <- labs( fill="Type" )
+
+colors <- scale_fill_manual( values=c( webColor( "redv2" ),
+                                       webColor( "light_blue" ) ) )
+
+wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
+
+barWidth <- 0.3
+
+theme <- graphTheme()
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            width = barWidth )
+
+# -----------------------
+# Post Generate Main Plot
+# -----------------------
+
+print( "Creating main plot for Post graph." )
+
+mainPlot <- ggplot( data = postDataFrame, aes( x = iterative,
+                                               y = ms,
+                                               fill = type ) )
+
+# -----------------------------------
+# Post Fundamental Variables Assigned
+# -----------------------------------
+
+print( "Generating fundamental graph data for Post graph." )
+
+xScaleConfig <- scale_x_continuous( breaks = postDataFrame$iterative,
+                                    label = postDataFrame$date )
+
+title <- labs( title = postChartTitle, subtitle = lastUpdatedLabel() )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        wrapLegend +
+                        colors +
+                        title
+
+# --------------------------------
+# Post Generating Bar Graph Format
+# --------------------------------
+
+print( "Generating bar graph for Post graph." )
+
+sum <- fileData[ 'posttoconfrm' ] +
+       fileData[ 'elapsepost' ]
+
+values <- geom_text( aes( x = postDataFrame$iterative,
+                          y = sum + 0.03 * max( sum ),
+                          label = format( sum,
+                                          digits = 3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          values
+
+# ----------------------------
+# Post Exporting Graph to File
+# ----------------------------
+
+saveGraph( postOutputFile )
+
+# ----------------------
+# Del Generate Main Plot
+# ----------------------
+
+print( "Creating main plot for Del graph." )
+
+mainPlot <- ggplot( data = delDataFrame, aes( x = iterative,
+                                              y = ms,
+                                              fill = type ) )
+
+# ----------------------------------
+# Del Fundamental Variables Assigned
+# ----------------------------------
+
+print( "Generating fundamental graph data for Del graph." )
+
+xScaleConfig <- scale_x_continuous( breaks = delDataFrame$iterative,
+                                    label = delDataFrame$date )
+
+title <- labs( title = delChartTitle, subtitle = lastUpdatedLabel() )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        wrapLegend +
+                        colors +
+                        title
+
+# -------------------------------
+# Del Generating Bar Graph Format
+# -------------------------------
+
+print( "Generating bar graph for Del graph." )
+
+sum <- fileData[ 'deltoconfrm' ] +
+       fileData[ 'elapsedel' ]
+
+values <- geom_text( aes( x = delDataFrame$iterative,
+                          y = sum + 0.03 * max( sum ),
+                          label = format( sum,
+                                          digits = 3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          title +
+          values
+
+# ---------------------------
+# Del Exporting Graph to File
+# ---------------------------
+
+saveGraph( delOutputFile )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFcbench.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFcbench.R
new file mode 100644
index 0000000..871000f
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFcbench.R
@@ -0,0 +1,232 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# Cbench Graph (https://jenkins.onosproject.org/view/QA/job/postjob-BM/lastSuccessfulBuild/artifact/SCPFcbench_master_errGraph.jpg):
+# Rscript SCPFspecificGraphRScripts/SCPFcbench.R <url> <port> <username> <pass> SCPFcbench master /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+save_directory <- 7
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    usage( "SCPFcbench.R" )
+    quit( status = 1 )
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+errBarOutputFile <- paste( args[ save_directory ],
+                           args[ graph_title ],
+                           "_",
+                           args[ branch_name ],
+                           "_errGraph.jpg",
+                           sep="" )
+
+chartTitle <- paste( "Single-Node CBench Throughput", "Last 3 Builds", sep = "\n" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ------------------
+# Cbench SQL Command
+# ------------------
+
+print( "Generating Scale Topology SQL Command" )
+
+command <- paste( "SELECT * FROM cbench_bm_tests WHERE branch='",
+                  args[ branch_name ],
+                  "' ORDER BY date DESC LIMIT 3",
+                  sep="" )
+
+fileData <- retrieveData( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# ------------
+# Data Sorting
+# ------------
+
+print( "Sorting data." )
+
+requiredColumns <- c( "avg" )
+
+tryCatch( avgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing Data Frame" )
+
+dataFrame <- melt( avgs )
+dataFrame$std <- c( fileData$std )
+dataFrame$date <- c( fileData$date )
+dataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
+
+colnames( dataFrame ) <- c( "ms",
+                            "type",
+                            "std",
+                            "date",
+                            "iterative" )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------
+# Generate Main Plot
+# ------------------
+
+print( "Creating main plot." )
+
+mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
+                                           y = ms,
+                                           ymin = ms,
+                                           ymax = ms + std ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+defaultTextSize()
+
+barWidth <- 0.3
+
+xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
+                                    label = dataFrame$date )
+xLabel <- xlab( "Build Date" )
+yLabel <- ylab( "Responses / sec" )
+fillLabel <- labs( fill = "Type" )
+
+theme <- graphTheme()
+
+title <- labs( title = chartTitle, subtitle = lastUpdatedLabel() )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        title
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+print( "Generating bar graph with error bars." )
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            position = position_dodge(),
+                            width = barWidth,
+                            fill = webColor( "green" ) )
+
+errorBarFormat <- geom_errorbar( width = barWidth,
+                                 color = webColor( "darkerGray" ) )
+
+values <- geom_text( aes( x=dataFrame$iterative,
+                          y=fileData[ 'avg' ] + 0.025 * max( fileData[ 'avg' ] ),
+                          label = format( fileData[ 'avg' ],
+                                          digits=3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          values
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( errBarOutputFile ) # from saveGraph.R
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFflowTp1g.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFflowTp1g.R
new file mode 100644
index 0000000..ffb91a9
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFflowTp1g.R
@@ -0,0 +1,327 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+has_flow_obj = 1
+database_host = 2
+database_port = 3
+database_u_id = 4
+database_pw = 5
+test_name = 6
+branch_name = 7
+has_neighbors = 8
+old_flow = 9
+save_directory = 10
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( is.na( args[ save_directory ] ) ){
+
+    print( paste( "Usage: Rscript SCPFflowTp1g.R",
+                                  "<has-flow-obj>",
+                                  "<database-host>",
+                                  "<database-port>",
+                                  "<database-user-id>",
+                                  "<database-password>",
+                                  "<test-name>",
+                                  "<branch-name>",
+                                  "<has-neighbors>",
+                                  "<using-old-flow>",
+                                  "<directory-to-save-graphs>",
+                                  sep=" " ) )
+
+    quit( status = 1 )  # basically exit(), but in R
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+chartTitle <- "Flow Throughput Test"
+fileNeighborsModifier <- "no"
+commandNeighborModifier <- ""
+fileFlowObjModifier <- ""
+sqlFlowObjModifier <- ""
+if ( args[ has_flow_obj ] == 'y' ){
+    fileFlowObjModifier <- "_flowObj"
+    sqlFlowObjModifier <- "_fobj"
+    chartTitle <- paste( chartTitle, " with Flow Objectives", sep="" )
+}
+
+chartTitle <- paste( chartTitle, "\nNeighbors =", sep="" )
+
+fileOldFlowModifier <- ""
+if ( args[ has_neighbors ] == 'y' ){
+    fileNeighborsModifier <- "all"
+    commandNeighborModifier <- "scale=1 OR NOT "
+    chartTitle <- paste( chartTitle, "Cluster Size - 1" )
+} else {
+    chartTitle <- paste( chartTitle, "0" )
+}
+if ( args[ old_flow ] == 'y' ){
+    fileOldFlowModifier <- "_OldFlow"
+    chartTitle <- paste( chartTitle, "With Eventually Consistent Flow Rule Store", sep="\n" )
+}
+errBarOutputFile <- paste( args[ save_directory ],
+                           args[ test_name ],
+                           "_",
+                           args[ branch_name ],
+                           "_",
+                           fileNeighborsModifier,
+                           "-neighbors",
+                           fileFlowObjModifier,
+                           fileOldFlowModifier,
+                           "_graph.jpg",
+                           sep="" )
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- dbConnect( dbDriver( "PostgreSQL" ),
+                  dbname = "onostest",
+                  host = args[ database_host ],
+                  port = strtoi( args[ database_port ] ),
+                  user = args[ database_u_id ],
+                  password = args[ database_pw ] )
+
+# ---------------------------
+# Flow Throughput SQL Command
+# ---------------------------
+
+print( "Generating Flow Throughput SQL command." )
+
+command <- paste( "SELECT scale, avg( avg ), avg( std ) FROM flow_tp",
+                  sqlFlowObjModifier,
+                  "_tests WHERE (",
+                  commandNeighborModifier,
+                  "neighbors = 0 ) AND branch = '",
+                  args[ branch_name ],
+                  "' AND date IN ( SELECT max( date ) FROM flow_tp",
+                  sqlFlowObjModifier,
+                  "_tests WHERE branch='",
+                  args[ branch_name ],
+                  "' AND ",
+                  ( if( args[ old_flow ] == 'y' ) "" else "NOT " ),
+                  "is_old_flow",
+                  " ) GROUP BY scale ORDER BY scale",
+                  sep="" )
+
+print( "Sending SQL command:" )
+print( command )
+
+fileData <- dbGetQuery( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# ------------
+# Data Sorting
+# ------------
+
+print( "Sorting data for Flow Throughput." )
+
+colnames( fileData ) <- c( "scale",
+                           "avg",
+                           "std" )
+
+requiredColumns <- c( "avg" )
+
+tryCatch( avgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+
+# ----------------------------
+# Flow TP Construct Data Frame
+# ----------------------------
+
+print( "Constructing Flow TP data frame." )
+
+dataFrame <- melt( avgs )              # This is where reshape2 comes in. Avgs list is converted to data frame
+dataFrame$scale <- fileData$scale      # Add node scaling to the data frame.
+dataFrame$std <- fileData$std
+
+colnames( dataFrame ) <- c( "throughput",
+                            "type",
+                            "scale",
+                            "std" )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------
+# Generate Main Plot
+# ------------------
+
+print( "Generating main plot." )
+# Create the primary plot here.
+# ggplot contains the following arguments:
+#     - data: the data frame that the graph will be based off of
+#    - aes: the asthetics of the graph which require:
+#        - x: x-axis values (usually node scaling)
+#        - y: y-axis values (usually time in milliseconds)
+#        - fill: the category of the colored side-by-side bars (usually type)
+
+mainPlot <- ggplot( data = dataFrame, aes( x = scale,
+                                           y = throughput,
+                                           ymin = throughput,
+                                           ymax = throughput + std,
+                                           fill = type ) )
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+# Formatting the plot
+theme_set( theme_grey( base_size = 22 ) )   # set the default text size of the graph.
+width <- 0.7  # Width of the bars.
+xScaleConfig <- scale_x_continuous( breaks = dataFrame$scale,
+                                    label = dataFrame$scale )
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Throughput (,000 Flows/sec)" )
+fillLabel <- labs( fill="Type" )
+imageWidth <- 15
+imageHeight <- 10
+imageDPI <- 200
+errorBarColor <- rgb( 140, 140, 140, maxColorValue=255 )
+
+theme <- theme( plot.title = element_text( hjust = 0.5,
+                                           size = 32,
+                                           face = 'bold' ),
+                plot.subtitle = element_text( size=16, hjust=1.0 ) )
+
+subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
+
+title <- labs( title = chartTitle, subtitle = subtitle )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        title
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+# Create the stacked bar graph with error bars.
+# geom_bar contains:
+#    - stat: data formatting (usually "identity")
+#    - width: the width of the bar types (declared above)
+# geom_errorbar contains similar arguments as geom_bar.
+print( "Generating bar graph with error bars." )
+barGraphFormat <- geom_bar( stat = "identity",
+                            width = width,
+                            fill = "#FFAA3C" )
+
+errorBarFormat <- geom_errorbar( width = width,
+                                 position = position_dodge(),
+                                 color = errorBarColor )
+
+values <- geom_text( aes( x = dataFrame$scale,
+                          y = dataFrame$throughput + 0.03 * max( dataFrame$throughput ),
+                          label = format( dataFrame$throughput,
+                                          digits=3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          values
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+print( paste( "Saving bar chart with error bars to", errBarOutputFile ) )
+
+tryCatch( ggsave( errBarOutputFile,
+                  width = imageWidth,
+                  height = imageHeight,
+                  dpi = imageDPI ),
+          error = function( e ){
+              print( "[ERROR] There was a problem saving the graph due to a graph formatting exception.  Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+        )
+
+print( paste( "[SUCCESS] Successfully wrote bar chart with error bars out to", errBarOutputFile ) )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFhostLat.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFhostLat.R
new file mode 100644
index 0000000..c4c30b2
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFhostLat.R
@@ -0,0 +1,233 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+save_directory = 7
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    usage( "SCPFhostLat.R" )
+    quit( status = 1 )
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+errBarOutputFile <- paste( args[ save_directory ],
+                           args[ graph_title ],
+                           "_",
+                           args[ branch_name ],
+                           "_errGraph.jpg",
+                           sep="" )
+
+chartTitle <- "Host Latency"
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ------------------------
+# Host Latency SQL Command
+# ------------------------
+
+print( "Generating Host Latency SQL Command" )
+
+command  <- paste( "SELECT * FROM host_latency_tests WHERE branch = '",
+                   args[ branch_name ],
+                   "' AND date IN ( SELECT MAX( date ) FROM host_latency_tests WHERE branch = '",
+                   args[ branch_name ],
+                   "' ) ",
+                   sep = "" )
+
+fileData <- retrieveData( con, command )
+
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# ------------
+# Data Sorting
+# ------------
+
+print( "Sorting data." )
+
+requiredColumns <- c( "avg" )
+
+tryCatch( avgs <- c( fileData[ requiredColumns ] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing Data Frame" )
+
+dataFrame <- melt( avgs )
+dataFrame$scale <- fileData$scale
+dataFrame$std <- fileData$std
+
+colnames( dataFrame ) <- c( "ms",
+                            "type",
+                            "scale",
+                            "std" )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------
+# Generate Main Plot
+# ------------------
+
+print( "Creating main plot." )
+
+mainPlot <- ggplot( data = dataFrame, aes( x = scale,
+                                           y = ms,
+                                           ymin = ms,
+                                           ymax = ms + std ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+defaultTextSize()
+
+barWidth <- 0.9
+
+xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9 ) )
+
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Latency (ms)" )
+fillLabel <- labs( fill="Type" )
+
+theme <- graphTheme()
+
+title <- labs( title = chartTitle, subtitle = lastUpdatedLabel() )
+
+errorBarColor <- rgb( 140, 140, 140, maxColorValue = 255 )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        title
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+print( "Generating bar graph with error bars." )
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            position = position_dodge(),
+                            width = barWidth,
+                            fill = webColor( "purple" ) )
+
+errorBarFormat <- geom_errorbar( position = position_dodge(),
+                                 width = barWidth,
+                                 color = webColor( "darkerGray" ) )
+
+values <- geom_text( aes( x=dataFrame$scale,
+                          y=dataFrame$ms + 0.06 * max( dataFrame$ms ),
+                          label = format( dataFrame$ms,
+                                          digits=3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          values
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( errBarOutputFile )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFintentEventTp.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFintentEventTp.R
new file mode 100644
index 0000000..e9a9dc4
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFintentEventTp.R
@@ -0,0 +1,310 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+has_flow_obj = 1
+database_host = 2
+database_port = 3
+database_u_id = 4
+database_pw = 5
+test_name = 6
+branch_name = 7
+has_neighbors = 8
+old_flow = 9
+save_directory = 10
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( is.na( args[ save_directory ] ) ){
+
+    print( paste( "Usage: Rscript SCPFIntentEventTp.R",
+                                  "<has-flow-obj>",
+                                  "<database-host>",
+                                  "<database-port>",
+                                  "<database-user-id>",
+                                  "<database-password>",
+                                  "<test-name>",
+                                  "<branch-name>",
+                                  "<has-neighbors>",
+                                  "<using-old-flow>",
+                                  "<directory-to-save-graphs>",
+                                  sep=" " ) )
+
+    quit( status = 1 )  # basically exit(), but in R
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+chartTitle <- "Intent Event Throughput"
+fileNeighborsModifier <- "no"
+commandNeighborModifier <- ""
+fileFlowObjModifier <- ""
+sqlFlowObjModifier <- ""
+
+if ( args[ has_flow_obj ] == 'y' ){
+    fileFlowObjModifier <- "_flowObj"
+    sqlFlowObjModifier <- "_fobj"
+    chartTitle <- paste( chartTitle, " with Flow Objectives", sep="" )
+}
+
+chartTitle <- paste( chartTitle, "\nevents/second with Neighbors =", sep="" )
+
+fileOldFlowModifier <- ""
+if ( args[ has_neighbors ] == 'y' ){
+    fileNeighborsModifier <- "all"
+    commandNeighborModifier <- "scale=1 OR NOT "
+    chartTitle <- paste( chartTitle, "all" )
+} else {
+    chartTitle <- paste( chartTitle, "0" )
+}
+if ( args[ old_flow ] == 'y' ){
+    fileOldFlowModifier <- "_OldFlow"
+    chartTitle <- paste( chartTitle, "With Eventually Consistent Flow Rule Store", sep="\n" )
+}
+
+errBarOutputFile <- paste( args[ save_directory ],
+                           args[ test_name ],
+                           "_",
+                           args[ branch_name ],
+                           "_",
+                           fileNeighborsModifier,
+                           "-neighbors",
+                           fileFlowObjModifier,
+                           fileOldFlowModifier,
+                           "_graph.jpg",
+                           sep="" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- dbConnect( dbDriver( "PostgreSQL" ),
+                  dbname = "onostest",
+                  host = args[ database_host ],
+                  port = strtoi( args[ database_port ] ),
+                  user = args[ database_u_id ],
+                  password = args[ database_pw ] )
+
+# -----------------------------------
+# Intent Event Throughput SQL Command
+# -----------------------------------
+
+print( "Generating Intent Event Throughput SQL command." )
+
+command <- paste( "SELECT scale, SUM( avg ) as avg FROM intent_tp",
+                  sqlFlowObjModifier,
+                  "_tests WHERE (",
+                  commandNeighborModifier,
+                  "neighbors = 0 ) AND branch = '",
+                  args[ branch_name ],
+                  "' AND date IN ( SELECT max( date ) FROM intent_tp",
+                  sqlFlowObjModifier,
+                  "_tests WHERE branch='",
+                  args[ branch_name ],
+                  "' AND ",
+                  ( if( args[ old_flow ] == 'y' ) "" else "NOT " ),
+                  "is_old_flow",
+                  " ) GROUP BY scale ORDER BY scale",
+                  sep="" )
+
+print( "Sending SQL command:" )
+print( command )
+
+fileData <- dbGetQuery( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# ------------
+# Data Sorting
+# ------------
+
+print( "Sorting data." )
+
+requiredColumns <- c( "avg" )
+
+tryCatch( avgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing data frame." )
+dataFrame <- melt( avgs )              # This is where reshape2 comes in. Avgs list is converted to data frame
+dataFrame$scale <- fileData$scale          # Add node scaling to the data frame.
+
+colnames( dataFrame ) <- c( "throughput",
+                            "type",
+                            "scale" )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------
+# Generate Main Plot
+# ------------------
+
+print( "Generating main plot." )
+# Create the primary plot here.
+# ggplot contains the following arguments:
+#     - data: the data frame that the graph will be based off of
+#    - aes: the asthetics of the graph which require:
+#        - x: x-axis values (usually node scaling)
+#        - y: y-axis values (usually time in milliseconds)
+#        - fill: the category of the colored side-by-side bars (usually type)
+
+mainPlot <- ggplot( data = dataFrame, aes( x = scale,
+                                           y = throughput,
+                                           fill = type ) )
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+# Formatting the plot
+theme_set( theme_grey( base_size = 22 ) )   # set the default text size of the graph.
+width <- 0.7  # Width of the bars.
+xScaleConfig <- scale_x_continuous( breaks = dataFrame$scale, label = dataFrame$scale )
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Throughput (events/second)" )
+fillLabel <- labs( fill="Type" )
+imageWidth <- 15
+imageHeight <- 10
+imageDPI <- 200
+
+theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face = 'bold' ),
+                legend.position = "bottom",
+                legend.text = element_text( size = 18, face = "bold" ),
+                legend.title = element_blank(),
+                plot.subtitle = element_text( size=16, hjust=1.0 ) )
+
+subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
+
+values <- geom_text( aes( x = dataFrame$scale,
+                          y = dataFrame$throughput + 0.03 * max( dataFrame$throughput ),
+                          label = format( dataFrame$throughput,
+                                          digits=3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7,
+                          fontface = "bold" )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        values
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+print( "Generating bar graph." )
+barGraphFormat <- geom_bar( stat = "identity",
+                            width = width,
+                            fill = "#169EFF" )
+
+title <- labs( title = chartTitle, subtitle = subtitle )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          title
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+print( paste( "Saving bar chart to", errBarOutputFile ) )
+
+tryCatch( ggsave( errBarOutputFile,
+                  width = imageWidth,
+                  height = imageHeight,
+                  dpi = imageDPI ),
+          error = function( e ){
+              print( "[ERROR] There was a problem saving the graph due to a graph formatting exception.  Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+        )
+
+print( paste( "[SUCCESS] Successfully wrote bar chart out to", errBarOutputFile ) )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFmastershipFailoverLat.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFmastershipFailoverLat.R
new file mode 100644
index 0000000..2525009
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFmastershipFailoverLat.R
@@ -0,0 +1,303 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# Mastership Failover Graph (https://jenkins.onosproject.org/view/QA/job/postjob-BM/lastSuccessfulBuild/artifact/SCPFmastershipFailoverLat_master_errGraph.jpg):
+# Rscript SCPFspecificGraphRScripts/SCPFmastershipFailoverLat.R <url> <port> <username> <pass> SCPFmastershipFailoverLat master /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+save_directory <- 7
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    usage( "SCPFmastershipFailoverLat.R" )
+    quit( status = 1 )
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+chartTitle <- "Mastership Failover Latency"
+
+errBarOutputFile <- paste( args[ save_directory ],
+                           args[ graph_title ],
+                           "_",
+                           args[ branch_name ],
+                           "_errGraph.jpg",
+                           sep="" )
+
+stackedBarOutputFile <- paste( args[ save_directory ],
+                        args[ graph_title ],
+                        "_",
+                        args[ branch_name ],
+                        "_stackedGraph.jpg",
+                        sep="" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ---------------------------------------
+# Mastership Failover Latency SQL Command
+# ---------------------------------------
+
+print( "Generating Mastership Failover Latency SQL command" )
+
+command  <- paste( "SELECT * FROM mastership_failover_tests WHERE branch = '",
+                   args[ branch_name ],
+                   "' AND date IN ( SELECT MAX( date ) FROM mastership_failover_tests WHERE branch = '",
+                   args[ branch_name ],
+                   "' ) ",
+                   sep = "" )
+
+fileData <- retrieveData( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# ------------
+# Data Sorting
+# ------------
+
+print( "Combining averages into a list." )
+
+requiredColumns <- c( "kill_deact_avg", "deact_role_avg" )
+
+tryCatch( avgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing Data Frame from list." )
+
+dataFrame <- melt( avgs )
+dataFrame$scale <- fileData$scale
+dataFrame$stds <- c( fileData$kill_deact_std,
+                     fileData$deact_role_std )
+
+colnames( dataFrame ) <- c( "ms",
+                            "type",
+                            "scale",
+                            "stds" )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+sum <- fileData[ 'deact_role_avg' ] +
+       fileData[ 'kill_deact_avg' ]
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------------------------
+# Initialize Variables for Both Graphs
+# ------------------------------------
+
+print( "Initializing variables used in both graphs." )
+
+defaultTextSize()
+xScaleConfig <- scale_x_continuous( breaks = c( 1, 3, 5, 7, 9) )
+
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Latency (ms)" )
+fillLabel <- labs( fill = "Type" )
+
+barWidth <- 0.9
+
+theme <- graphTheme()
+
+barColors <- scale_fill_manual( values=c( webColor( "redv2" ),
+                                          webColor( "light_blue" ) ) )
+
+wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
+
+# ----------------------------------
+# Error Bar Graph Generate Main Plot
+# ----------------------------------
+
+print( "Creating main plot." )
+
+mainPlot <- ggplot( data = dataFrame, aes( x = scale,
+                                           y = ms,
+                                           ymin = ms,
+                                           ymax = ms + stds,
+                                           fill = type ) )
+
+# ----------------------------------------------
+# Error Bar Graph Fundamental Variables Assigned
+# ----------------------------------------------
+
+print( "Generating fundamental graph data for the error bar graph." )
+
+title <- labs( title = chartTitle, subtitle = lastUpdatedLabel() )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        title +
+                        wrapLegend
+
+# -------------------------------------------
+# Error Bar Graph Generating Bar Graph Format
+# -------------------------------------------
+
+print( "Generating bar graph with error bars." )
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            position = position_dodge(),
+                            width = barWidth )
+
+errorBarFormat <- geom_errorbar( width = barWidth,
+                                 position = position_dodge(),
+                                 color = webColor( "darkerGray" ) )
+
+values <- geom_text( aes( x = dataFrame$scale,
+                          y = dataFrame$ms + 0.02 * max( dataFrame$ms ),
+                          label = format( dataFrame$ms,
+                                          digits = 3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold",
+                          position = position_dodge( 0.9 ) )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          barColors +
+          errorBarFormat +
+          values
+
+# ---------------------------------------
+# Error Bar Graph Exporting Graph to File
+# ---------------------------------------
+
+saveGraph( errBarOutputFile )
+
+# ------------------------------------------------
+# Stacked Bar Graph Fundamental Variables Assigned
+# ------------------------------------------------
+
+print( "Generating fundamental graph data for the stacked bar graph." )
+
+title <- labs( title = chartTitle, subtitle = lastUpdatedLabel() )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        title +
+                        wrapLegend
+
+# ---------------------------------------------
+# Stacked Bar Graph Generating Bar Graph Format
+# ---------------------------------------------
+
+print( "Generating stacked bar chart." )
+stackedBarFormat <- geom_bar( stat = "identity",
+                              width = barWidth )
+
+values <- geom_text( aes( x = dataFrame$scale,
+                          y = sum + 0.02 * max( sum ),
+                          label = format( sum,
+                                          digits = 3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          stackedBarFormat +
+          barColors +
+          title +
+          values
+
+# -----------------------------------------
+# Stacked Bar Graph Exporting Graph to File
+# -----------------------------------------
+
+saveGraph( stackedBarOutputFile )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFportLat.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFportLat.R
new file mode 100644
index 0000000..70d6607
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFportLat.R
@@ -0,0 +1,367 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# Port Latency Graph (https://jenkins.onosproject.org/view/QA/job/postjob-BM/lastSuccessfulBuild/artifact/SCPFportLat_master_UpErrBarWithStack.jpg):
+# Rscript SCPFportLat.R <url> <port> <username> <pass> SCPFmastershipFailoverLat master /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+save_directory = 7
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    usage( "SCPFmastershipFailoverLat.R" )
+    quit( status = 1 )
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+errBarOutputFileUp <- paste( args[ save_directory ],
+                             "SCPFportLat_",
+                             args[ branch_name ],
+                             "_UpErrBarWithStack.jpg",
+                             sep = "" )
+
+errBarOutputFileDown <- paste( args[ save_directory ],
+                             "SCPFportLat_",
+                             args[ branch_name ],
+                             "_DownErrBarWithStack.jpg",
+                             sep = "" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ------------------------
+# Port Latency SQL Command
+# ------------------------
+
+print( "Generating Port Latency SQL Command" )
+
+command <- paste( "SELECT * FROM port_latency_details WHERE branch = '",
+                  args[ branch_name ],
+                  "' AND date IN ( SELECT MAX( date ) FROM port_latency_details WHERE branch = '",
+                  args[ branch_name ],
+                  "' ) ",
+                  sep = "" )
+
+fileData <- retrieveData( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# -----------------------------
+# Port Up Averages Data Sorting
+# -----------------------------
+
+print( "Sorting data for Port Up Averages." )
+
+requiredColumns <- c( "up_ofp_to_dev_avg", "up_dev_to_link_avg", "up_link_to_graph_avg" )
+
+tryCatch( upAvgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# ----------------------------
+# Port Up Construct Data Frame
+# ----------------------------
+
+print( "Constructing Port Up data frame." )
+
+upAvgsDataFrame <- melt( upAvgs )
+upAvgsDataFrame$scale <- fileData$scale
+upAvgsDataFrame$up_std <- fileData$up_std
+
+colnames( upAvgsDataFrame ) <- c( "ms",
+                             "type",
+                             "scale",
+                             "stds" )
+
+upAvgsDataFrame <- na.omit( upAvgsDataFrame )
+
+upAvgsDataFrame$type <- as.character( upAvgsDataFrame$type )
+upAvgsDataFrame$type <- factor( upAvgsDataFrame$type, levels=unique( upAvgsDataFrame$type ) )
+
+sumOfUpAvgs <- fileData[ 'up_ofp_to_dev_avg' ] +
+               fileData[ 'up_dev_to_link_avg' ] +
+               fileData[ 'up_link_to_graph_avg' ]
+
+print( "Up Averages Results:" )
+print( upAvgsDataFrame )
+
+# -------------------------------
+# Port Down Averages Data Sorting
+# -------------------------------
+
+print( "Sorting data for Port Down Averages." )
+
+requiredColumns <- c( "down_ofp_to_dev_avg", "down_dev_to_link_avg", "down_link_to_graph_avg" )
+
+tryCatch( downAvgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# ------------------------------
+# Port Down Construct Data Frame
+# ------------------------------
+
+print( "Constructing Port Down data frame." )
+
+downAvgsDataFrame <- melt( downAvgs )
+downAvgsDataFrame$scale <- fileData$scale
+downAvgsDataFrame$down_std <- fileData$down_std
+
+colnames( downAvgsDataFrame ) <- c( "ms",
+                               "type",
+                               "scale",
+                               "stds" )
+
+downAvgsDataFrame <- na.omit( downAvgsDataFrame )
+
+downAvgsDataFrame$type <- as.character( downAvgsDataFrame$type )
+downAvgsDataFrame$type <- factor( downAvgsDataFrame$type, levels=unique( downAvgsDataFrame$type ) )
+
+sumOfDownAvgs <- fileData[ 'down_ofp_to_dev_avg' ] +
+                 fileData[ 'down_dev_to_link_avg' ] +
+                 fileData[ 'down_link_to_graph_avg' ]
+
+print( "Down Averages Results:" )
+print( downAvgsDataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------------------------
+# Initialize Variables For Both Graphs
+# ------------------------------------
+
+print( "Initializing variables used in both graphs." )
+
+defaultTextSize()
+xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9 ) )
+
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Latency (ms)" )
+fillLabel <- labs( fill="Type" )
+
+barWidth <- 1
+
+wrapLegend <- guides( fill=guide_legend( nrow=1, byrow=TRUE ) )
+
+theme <- graphTheme()
+
+subtitle <- lastUpdatedLabel()
+
+colors <- scale_fill_manual( values=c( webColor( "redv2" ),
+                                       webColor( "light_blue" ),
+                                       webColor( "green" ) ) )
+
+errorBarColor <- webColor( "darkerGray" )
+
+# --------------------------
+# Port Up Generate Main Plot
+# --------------------------
+
+print( "Generating main plot (Port Up Latency)." )
+
+mainPlot <- ggplot( data = upAvgsDataFrame, aes( x = scale,
+                                            y = ms,
+                                            fill = type,
+                                            ymin = fileData[ 'up_end_to_end_avg' ],
+                                            ymax = fileData[ 'up_end_to_end_avg' ] + stds ) )
+
+# --------------------------------------
+# Port Up Fundamental Variables Assigned
+# --------------------------------------
+
+print( "Generating fundamental graph data (Port Up Latency)." )
+
+title <- labs( title = "Port Up Latency", subtitle = lastUpdatedLabel() )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        wrapLegend +
+                        title +
+                        colors
+
+# -----------------------------------
+# Port Up Generating Bar Graph Format
+# -----------------------------------
+
+print( "Generating bar graph with error bars (Port Up Latency)." )
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            width = barWidth )
+
+errorBarFormat <- geom_errorbar( width = barWidth,
+                                 color = errorBarColor )
+
+values <- geom_text( aes( x = upAvgsDataFrame$scale,
+                          y = sumOfUpAvgs + 0.03 * max( sumOfUpAvgs ),
+                          label = format( sumOfUpAvgs,
+                                          digits=3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          values
+
+# -------------------------------
+# Port Up Exporting Graph to File
+# -------------------------------
+
+saveGraph( errBarOutputFileUp )
+
+# ----------------------------
+# Port Down Generate Main Plot
+# ----------------------------
+
+print( "Generating main plot (Port Down Latency)." )
+
+mainPlot <- ggplot( data = downAvgsDataFrame, aes( x = scale,
+                                              y = ms,
+                                              fill = type,
+                                              ymin = fileData[ 'down_end_to_end_avg' ],
+                                              ymax = fileData[ 'down_end_to_end_avg' ] + stds ) )
+
+# ----------------------------------------
+# Port Down Fundamental Variables Assigned
+# ----------------------------------------
+
+print( "Generating fundamental graph data (Port Down Latency)." )
+
+title <- labs( title = "Port Down Latency", subtitle = lastUpdatedLabel() )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        wrapLegend +
+                        title +
+                        colors
+
+# -------------------------------------
+# Port Down Generating Bar Graph Format
+# -------------------------------------
+
+print( "Generating bar graph with error bars (Port Down Latency)." )
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            width = barWidth )
+
+errorBarFormat <- geom_errorbar( width = barWidth,
+                                 color = errorBarColor )
+
+values <- geom_text( aes( x = downAvgsDataFrame$scale,
+                          y = sumOfDownAvgs + 0.03 * max( sumOfDownAvgs ),
+                          label = format( sumOfDownAvgs,
+                                          digits=3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 7.0,
+                          fontface = "bold" )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          values
+
+# ---------------------------------
+# Port Down Exporting Graph to File
+# ---------------------------------
+
+saveGraph( errBarOutputFileDown )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFscaleTopo.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFscaleTopo.R
new file mode 100644
index 0000000..2afe86e
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFscaleTopo.R
@@ -0,0 +1,238 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# Scale Topology Latency Test Graph (https://jenkins.onosproject.org/view/QA/job/postjob-BM/lastSuccessfulBuild/artifact/SCPFscaleTopo_master_graph.jpg):
+# Rscript SCPFspecificGraphRScripts/SCPFscaleTopo.R <url> <port> <username> <pass> SCPFscaleTopo master /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+save_directory = 7
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    usage( "SCPFscaleTopo.R" )
+    quit( status = 1 )
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+outputFile <- paste( args[ save_directory ],
+                     args[ graph_title ],
+                     "_",
+                     args[ branch_name ],
+                     "_graph.jpg",
+                     sep="" )
+
+chartTitle <- "Scale Topology Latency Test"
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# --------------------------
+# Scale Topology SQL Command
+# --------------------------
+
+print( "Generating Scale Topology SQL Command" )
+
+command <- paste( "SELECT * FROM scale_topo_latency_details WHERE branch = '",
+                  args[ branch_name ],
+                  "' AND date IN ( SELECT MAX( date ) FROM scale_topo_latency_details WHERE branch = '",
+                  args[ branch_name ],
+                  "' ) ",
+                  sep = "" )
+
+fileData <- retrieveData( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# ------------
+# Data Sorting
+# ------------
+
+print( "Sorting data." )
+
+requiredColumns <- c( "last_role_request_to_last_topology", "last_connection_to_last_role_request", "first_connection_to_last_connection" )
+
+tryCatch( avgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing Data Frame" )
+
+# Parse lists into data frames.
+dataFrame <- melt( avgs )
+dataFrame$scale <- fileData$scale
+colnames( dataFrame ) <- c( "s",
+                            "type",
+                            "scale")
+
+# Format data frame so that the data is in the same order as it appeared in the file.
+dataFrame$type <- as.character( dataFrame$type )
+dataFrame$type <- factor( dataFrame$type, levels=unique( dataFrame$type ) )
+dataFrame$iterative <- seq( 1, nrow( fileData ), by = 1 )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+sum <- fileData[ 'last_role_request_to_last_topology' ] +
+       fileData[ 'last_connection_to_last_role_request' ] +
+       fileData[ 'first_connection_to_last_connection' ]
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------
+# Generate Main Plot
+# ------------------
+
+print( "Creating main plot." )
+
+mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
+                                           y = s,
+                                           fill = type ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+defaultTextSize()
+xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
+                                    label = dataFrame$scale )
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Latency (s)" )
+fillLabel <- labs( fill="Type" )
+
+width <- 0.6  # Width of the bars.
+
+theme <- graphTheme()
+
+colors <- scale_fill_manual( values=c( webColor( "redv2" ),
+                                       webColor( "green" ),
+                                       webColor( "light_blue" ) ) )
+
+values <- geom_text( aes( x = dataFrame$iterative,
+                          y = sum + 0.02 * max( sum ),
+                          label = format( sum,
+                                          big.mark = ",",
+                                          scientific = FALSE ),
+                          fontface = "bold" ),
+                          size = 7.0 )
+
+wrapLegend <- guides( fill = guide_legend( nrow=2, byrow=TRUE ) )
+
+title <- labs( title = chartTitle, subtitle = lastUpdatedLabel() )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        values +
+                        wrapLegend +
+                        title +
+                        colors
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+print( "Generating bar graph." )
+
+barGraphFormat <- geom_bar( stat = "identity", width = width )
+
+result <- fundamentalGraphData +
+          barGraphFormat
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( outputFile )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFscalingMaxIntents.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFscalingMaxIntents.R
new file mode 100644
index 0000000..045f5e7
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFscalingMaxIntents.R
@@ -0,0 +1,290 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+has_flow_obj = 1
+database_host = 2
+database_port = 3
+database_u_id = 4
+database_pw = 5
+test_name = 6
+branch_name = 7
+old_flow = 8
+save_directory = 9
+
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( is.na( args[ save_directory ] ) ){
+    print( paste( "Usage: Rscript SCPFInstalledIntentsFlows",
+                                  "<has-flowObj>",
+                                  "<database-host>",
+                                  "<database-port>",
+                                  "<database-user-id>",
+                                  "<database-password>",
+                                  "<test-name>",
+                                  "<branch-name>",
+                                  "<using-old-flow>",
+                                  "<directory-to-save-graphs>",
+                                  sep=" " ) )
+
+    quit( status = 1 )  # basically exit(), but in R
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+fileFlowObjModifier <- ""
+sqlFlowObjModifier <- ""
+chartTitle <- "Number of Installed Intents & Flows"
+
+if ( args[ has_flow_obj ] == "y" ){
+    fileFlowObjModifier <- "_flowObj"
+    sqlFlowObjModifier <- "fobj_"
+    chartTitle <- "Number of Installed Intents & Flows\n with Flow Objectives"
+}
+fileOldFlowModifier <- ""
+if ( args[ old_flow ] == 'y' ){
+    fileOldFlowModifier <- "_OldFlow"
+    chartTitle <- paste( chartTitle, "With Eventually Consistent Flow Rule Store", sep="\n" )
+}
+
+outputFile <- paste( args[ save_directory ],
+                     args[ test_name ],
+                     fileFlowObjModifier,
+                     fileOldFlowModifier,
+                     "_",
+                     args[ branch_name ],
+                     "_errGraph.jpg",
+                     sep="" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- dbConnect( dbDriver( "PostgreSQL" ),
+                  dbname = "onostest",
+                  host = args[ database_host ],
+                  port = strtoi( args[ database_port ] ),
+                  user = args[ database_u_id ],
+                  password = args[ database_pw ] )
+
+# -------------------------------
+# Scaling Max Intents SQL Command
+# -------------------------------
+
+print( "Scaling Max Intents SQL Command" )
+
+command <- paste( "SELECT * FROM max_intents_",
+                  sqlFlowObjModifier,
+                  "tests WHERE branch = '",
+                  args[ branch_name ],
+                  "' AND date IN ( SELECT MAX( date ) FROM max_intents_",
+                  sqlFlowObjModifier,
+                  "tests WHERE branch = '",
+                  args[ branch_name ],
+                  "' AND ",
+                  ( if( args[ old_flow ] == 'y' ) "" else "NOT " ),
+                  "is_old_flow",
+                  " ) ",
+                  sep="" )
+
+print( "Sending SQL command:" )
+print( command )
+fileData <- dbGetQuery( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# ------------
+# Data Sorting
+# ------------
+
+print( "Sorting data." )
+
+requiredColumns <- c( "max_intents_ovs", "max_flows_ovs" )
+
+tryCatch( avgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing Data Frame" )
+
+dataFrame <- melt( avgs )
+dataFrame$scale <- fileData$scale
+
+colnames( dataFrame ) <- c( "ms", "type", "scale" )
+
+dataFrame$type <- as.character( dataFrame$type )
+dataFrame$type <- factor( dataFrame$type, levels=unique( dataFrame$type ) )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------
+# Generate Main Plot
+# ------------------
+
+print( "Creating main plot." )
+mainPlot <- ggplot( data = dataFrame, aes( x = scale,
+                                           y = ms,
+                                           fill = type ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+barWidth <- 1.3
+theme_set( theme_grey( base_size = 22 ) )   # set the default text size of the graph.
+xScaleConfig <- scale_x_continuous( breaks=c( 1, 3, 5, 7, 9 ) )
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Max Number of Intents/Flow Rules" )
+fillLabel <- labs( fill="Type" )
+imageWidth <- 15
+imageHeight <- 10
+imageDPI <- 200
+
+theme <- theme( plot.title = element_text( hjust = 0.5, size = 32, face = 'bold' ),
+                legend.position = "bottom",
+                legend.text = element_text( size=22 ),
+                legend.title = element_blank(),
+                legend.key.size = unit( 1.5, 'lines' ),
+                plot.subtitle = element_text( size=16, hjust=1.0 ) )
+
+subtitle <- paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
+
+colors <- scale_fill_manual( values = c( "#F77670",
+                                         "#619DFA" ) )
+
+wrapLegend <- guides( fill = guide_legend( nrow = 1, byrow = TRUE ) )
+
+title <- labs( title = chartTitle, subtitle = subtitle )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        fillLabel +
+                        theme +
+                        wrapLegend +
+                        title +
+                        colors
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+print( "Generating bar graph." )
+
+barGraphFormat <- geom_bar( stat = "identity",
+                            position = position_dodge(),
+                            width = barWidth )
+
+values <- geom_text( aes( x = dataFrame$scale,
+                          y = dataFrame$ms + 0.015 * max( dataFrame$ms ),
+                          label = format( dataFrame$ms,
+                                          digits=3,
+                                          big.mark = ",",
+                                          scientific = FALSE ) ),
+                          size = 5.2,
+                          fontface = "bold",
+                          position = position_dodge( width = 1.25 ) )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          values
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+print( paste( "Saving bar chart to", outputFile ) )
+
+tryCatch( ggsave( outputFile,
+                  width = imageWidth,
+                  height = imageHeight,
+                  dpi = imageDPI ),
+          error = function( e ){
+              print( "[ERROR] There was a problem saving the graph due to a graph formatting exception.  Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+        )
+
+print( paste( "[SUCCESS] Successfully wrote bar chart out to", outputFile ) )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFswitchLat.R b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFswitchLat.R
new file mode 100644
index 0000000..192ac8f
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/SCPFspecificGraphRScripts/SCPFswitchLat.R
@@ -0,0 +1,361 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# Switch Latency Graph (https://jenkins.onosproject.org/view/QA/job/postjob-BM/lastSuccessfulBuild/artifact/SCPFswitchLat_master_UpErrBarWithStack.jpg):
+# Rscript SCPFspecificGraphRScripts/SCPFswitchLat.R <url> <port> <username> <pass> SCPFswitchLat master /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+save_directory <- 7
+
+# Command line arguments are read.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )    # For databases
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    usage( "SCPFswitchLat.R" )
+    quit( status = 1 )
+}
+
+# -----------------
+# Create File Names
+# -----------------
+
+print( "Creating filenames and title of graph." )
+
+errBarOutputFileUp <- paste( args[ save_directory ],
+                             "SCPFswitchLat_",
+                             args[ branch_name ],
+                             "_UpErrBarWithStack.jpg",
+                             sep="" )
+
+errBarOutputFileDown <- paste( args[ save_directory ],
+                               "SCPFswitchLat_",
+                               args[ branch_name ],
+                               "_DownErrBarWithStack.jpg",
+                               sep="" )
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# --------------------------
+# Switch Latency SQL Command
+# --------------------------
+
+print( "Generating Switch Latency SQL Command" )
+
+command <- paste( "SELECT * FROM switch_latency_details WHERE branch = '",
+                  args[ branch_name ],
+                  "' AND date IN ( SELECT MAX( date ) FROM switch_latency_details WHERE branch='",
+                  args[ branch_name ],
+                  "' )",
+                  sep="" )
+
+fileData <- retrieveData( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# -------------------------------
+# Switch Up Averages Data Sorting
+# -------------------------------
+
+print( "Sorting data for Switch Up Averages." )
+
+requiredColumns <- c( "up_device_to_graph_avg",
+                      "feature_reply_to_device_avg",
+                      "tcp_to_feature_reply_avg" )
+
+tryCatch( upAvgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# ------------------------------
+# Switch Up Construct Data Frame
+# ------------------------------
+
+print( "Constructing Switch Up data frame." )
+
+upAvgsData <- melt( upAvgs )
+upAvgsData$scale <- fileData$scale
+upAvgsData$up_std <- fileData$up_std
+upAvgsData <- na.omit( upAvgsData )
+
+colnames( upAvgsData ) <- c( "ms",
+                             "type",
+                             "scale",
+                             "stds" )
+
+upAvgsData$type <- as.character( upAvgsData$type )
+upAvgsData$type <- factor( upAvgsData$type, levels=unique( upAvgsData$type ) )
+
+sumOfUpAvgs <- fileData[ 'up_device_to_graph_avg' ] +
+               fileData[ 'feature_reply_to_device_avg' ] +
+               fileData[ 'tcp_to_feature_reply_avg' ]
+
+print( "Up Averages Results:" )
+print( upAvgsData )
+
+# ---------------------------------
+# Switch Down Averages Data Sorting
+# ---------------------------------
+
+print( "Sorting data for Switch Down Averages." )
+
+requiredColumns <- c( "down_device_to_graph_avg",
+                      "ack_to_device_avg",
+                      "fin_ack_to_ack_avg" )
+
+tryCatch( downAvgs <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# --------------------------------
+# Switch Down Construct Data Frame
+# --------------------------------
+
+print( "Constructing Switch Down data frame." )
+
+downAvgsData <- melt( downAvgs )
+downAvgsData$scale <- fileData$scale
+downAvgsData$down_std <- fileData$down_std
+
+colnames( downAvgsData ) <- c( "ms",
+                               "type",
+                               "scale",
+                               "stds" )
+
+downAvgsData$type <- as.character( downAvgsData$type )
+downAvgsData$type <- factor( downAvgsData$type, levels=unique( downAvgsData$type ) )
+
+downAvgsData <- na.omit( downAvgsData )
+
+sumOfDownAvgs <- fileData[ 'down_device_to_graph_avg' ] +
+                 fileData[ 'ack_to_device_avg' ] +
+                 fileData[ 'fin_ack_to_ack_avg' ]
+
+print( "Down Averages Results:" )
+print( downAvgsData )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# ------------------------------------
+# Initialize Variables For Both Graphs
+# ------------------------------------
+
+print( "Initializing variables used in both graphs." )
+
+defaultTextSize()
+xScaleConfig <- scale_x_continuous( breaks = c( 1, 3, 5, 7, 9 ) )
+
+xLabel <- xlab( "Scale" )
+yLabel <- ylab( "Latency (ms)" )
+
+errorBarColor <- webColor( "darkerGray" )
+barWidth <- 1
+
+theme <- graphTheme()
+
+subtitle <- lastUpdatedLabel()
+
+colors <- scale_fill_manual( values=c( webColor( "redv2" ),
+                                       webColor( "light_blue" ),
+                                       webColor( "green" ) ) )
+
+# ----------------------------
+# Switch Up Generate Main Plot
+# ----------------------------
+
+print( "Creating main plot (Switch Up Latency)." )
+
+mainPlot <- ggplot( data = upAvgsData, aes( x = scale,
+                                            y = ms,
+                                            fill = type,
+                                            ymin = fileData[ 'up_end_to_end_avg' ],
+                                            ymax = fileData[ 'up_end_to_end_avg' ] + stds ) )
+
+# ----------------------------------------
+# Switch Up Fundamental Variables Assigned
+# ----------------------------------------
+
+print( "Generating fundamental graph data (Switch Up Latency)." )
+
+title <- labs( title = "Switch Up Latency", subtitle = subtitle )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        theme +
+                        title +
+                        colors
+
+# -------------------------------------
+# Switch Up Generating Bar Graph Format
+# -------------------------------------
+
+print( "Generating bar graph with error bars (Switch Up Latency)." )
+
+barGraphFormat <- geom_bar( stat = "identity", width = barWidth )
+errorBarFormat <- geom_errorbar( width = barWidth, color = errorBarColor )
+
+barGraphValues <- geom_text( aes( x = upAvgsData$scale,
+                                  y = sumOfUpAvgs + 0.04 * max( sumOfUpAvgs ),
+                                  label = format( sumOfUpAvgs,
+                                                  digits = 3,
+                                                  big.mark = ",",
+                                                  scientific = FALSE ) ),
+                                  size = 7.0,
+                                  fontface = "bold" )
+
+wrapLegend <- guides( fill = guide_legend( nrow = 2, byrow = TRUE ) )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          barGraphValues +
+          wrapLegend
+
+# ---------------------------------
+# Switch Up Exporting Graph to File
+# ---------------------------------
+
+saveGraph( errBarOutputFileUp )
+
+# ------------------------------
+# Switch Down Generate Main Plot
+# ------------------------------
+
+print( "Creating main plot (Switch Down Latency)." )
+
+mainPlot <- ggplot( data = downAvgsData, aes( x = scale,
+                                              y = ms,
+                                              fill = type,
+                                              ymin = fileData[ 'down_end_to_end_avg' ],
+                                              ymax = fileData[ 'down_end_to_end_avg' ] + stds ) )
+
+# ------------------------------------------
+# Switch Down Fundamental Variables Assigned
+# ------------------------------------------
+
+print( "Generating fundamental graph data (Switch Down Latency)." )
+
+title <- labs( title = "Switch Down Latency", subtitle = subtitle )
+
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        xLabel +
+                        yLabel +
+                        theme +
+                        title +
+                        colors
+
+# ---------------------------------------
+# Switch Down Generating Bar Graph Format
+# ---------------------------------------
+
+print( "Generating bar graph with error bars (Switch Down Latency)." )
+barGraphFormat <- geom_bar( stat = "identity", width = barWidth )
+errorBarFormat <- geom_errorbar( width = barWidth, color = errorBarColor )
+
+barGraphValues <- geom_text( aes( x = downAvgsData$scale,
+                                  y = sumOfDownAvgs + 0.04 * max( sumOfDownAvgs ),
+                                  label = format( sumOfDownAvgs,
+                                                  digits = 3,
+                                                  big.mark = ",",
+                                                  scientific = FALSE ) ),
+                                  size = 7.0,
+                                  fontface = "bold" )
+
+wrapLegend <- guides( fill = guide_legend( nrow = 1, byrow = TRUE ) )
+
+result <- fundamentalGraphData +
+          barGraphFormat +
+          errorBarFormat +
+          barGraphValues +
+          wrapLegend
+
+# -----------------------------------
+# Switch Down Exporting Graph to File
+# -----------------------------------
+
+saveGraph( errBarOutputFileDown )
+quit( status = 0 )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/dependencies/cliArgs.R b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/cliArgs.R
new file mode 100644
index 0000000..e48a5dc
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/cliArgs.R
@@ -0,0 +1,60 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+database_host <- 1
+database_host_str <- "<database-host>"
+
+database_port <- 2
+database_port_str <- "<database-port>"
+
+database_u_id <- 3
+database_u_id_str <- "<database-user-id>"
+
+database_pw <- 4
+database_pw_str <- "<database-password>"
+
+graph_title <- 5
+graph_title_str <- "<graph-title>"
+
+branch_name <- 6
+branch_name_str <- "<branch-name>"
+
+save_directory_str <- "<directory-to-save-graph>"
+
+usage <- function( filename, specialArgsList = c() ){
+    special_args_str = ""
+    for ( a in specialArgsList) {
+        special_args_str = paste( special_args_str, "<", a, "> ", sep="" )
+    }
+    output <- paste( "Usage: Rscript",
+                     filename,
+                     database_host_str,
+                     database_port_str,
+                     database_u_id_str,
+                     database_pw_str,
+                     graph_title_str,
+                     branch_name_str,
+                     special_args_str,
+                     sep=" " )
+    output <- paste( output, save_directory_str, sep="" )
+    print( output )
+}
\ No newline at end of file
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/dependencies/fundamentalGraphData.R b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/fundamentalGraphData.R
new file mode 100644
index 0000000..e2c4ed8
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/fundamentalGraphData.R
@@ -0,0 +1,56 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+
+graphTheme <- function(){
+    theme( plot.title = element_text( hjust = 0.5, size = 32, face ='bold' ),
+           axis.text.x = element_text( angle = 0, size = 14 ),
+           legend.position = "bottom",
+           legend.text = element_text( size = 22 ),
+           legend.title = element_blank(),
+           legend.key.size = unit( 1.5, 'lines' ),
+           legend.direction = 'horizontal',
+           plot.subtitle = element_text( size=16, hjust=1.0 ) )
+}
+
+webColor <- function( color ){
+    switch( color,
+            red = "#FF0000",
+            redv2 = "#FF6666", # more readable version of red
+            green = "#33CC33",
+            blue = "#0033FF",
+            light_blue = "#3399FF",
+            black = "#111111",
+            yellow = "#EEB600",
+            purple = "#9900FF",
+            gray = "#CCCCCC",
+            darkerGray = "#666666" )
+}
+
+wrapLegend <- function(){
+    guides( color = guide_legend( nrow = 2, byrow = TRUE ) )
+}
+
+lastUpdatedLabel <- function(){
+    paste( "Last Updated: ", format( Sys.time(), format = "%b %d, %Y at %I:%M %p %Z" ), sep="" )
+}
+
+defaultTextSize <- function(){
+    theme_set( theme_grey( base_size = 26 ) )   # set the default text size of the graph.
+}
\ No newline at end of file
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/dependencies/initSQL.R b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/initSQL.R
new file mode 100644
index 0000000..dec5f2e
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/initSQL.R
@@ -0,0 +1,154 @@
+# Copyright 2018 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+pipelineMinValue = 1000
+
+initSQL <- function( host, port, user, pass ) {
+    dbConnect( dbDriver( "PostgreSQL" ),
+               dbname = "onostest",
+               host = host,
+               port = strtoi( port ),
+               user = user,
+               password = pass )
+}
+
+simpleSQLCommand <- function( testName, branch, limit=0 ){
+    paste( "SELECT * FROM executed_test_tests WHERE actual_test_name='",
+           testName,
+           "' AND branch='",
+           branch,
+           "' ORDER BY date DESC ",
+           if (limit > 0) "LIMIT " else "",
+           if (limit > 0) limit else "",
+           sep="" )
+}
+
+retrieveData <- function( con, sqlCommand ){
+
+    print( "Sending SQL command:" )
+    print( sqlCommand )
+
+    result <- dbGetQuery( con, sqlCommand )
+
+    # Check if data has been received
+    if ( nrow( result ) == 0 ){
+        print( "[ERROR]: No data received from the databases. Please double check this by manually running the SQL command." )
+        quit( status = 1 )
+    }
+    result
+}
+
+generateMultiTestMultiBuildSQLCommand <- function( branch, testsToInclude, buildsToShow ){
+    tests <- getTestList( testsToInclude )
+    multiTestSQLCommand( branch, tests, buildsToShow, TRUE )
+}
+
+generateMultiTestSingleBuildSQLCommand <- function( branch, testsToInclude, buildToShow ){
+    tests <- getTestList( testsToInclude )
+    operator <- "= "
+    if ( buildToShow == "latest" ){
+        operator <- ">= "
+        buildToShow <- "1000"
+    }
+
+    multiTestSQLCommand( branch, tests, buildToShow, FALSE, operator )
+}
+
+generateGroupedTestSingleBuildSQLCommand <- function( branch, groupsToInclude, buildToShow ){
+    operator <- "= "
+    if( buildToShow == "latest" ){
+        operator <- ">= "
+        buildToShow <- "1000"
+    }
+
+    tests <- strsplit( groupsToInclude, ";" )
+
+    sqlCommands <- c()
+
+    for( i in 1:length( tests[[1]] ) ){
+        splitTestList <- strsplit( tests[[1]][ i ], "-" )
+        testList <- splitTestList[[1]][2]
+
+        testsCommand <- "'"
+        for ( test in as.list( strsplit( testList, "," )[[1]] ) ){
+            testsCommand <- paste( testsCommand, test, "','", sep="" )
+        }
+        testsCommand <- substr( testsCommand, 0, nchar( testsCommand ) - 2 )
+
+        sqlCommands = c( sqlCommands, multiTestSQLCommand( branch, testsCommand, buildToShow, FALSE, operator ) )
+    }
+    sqlCommands
+}
+
+getTitlesFromGroupTest <- function( branch, groupsToInclude ){
+    tests <- strsplit( groupsToInclude, ";" )
+    titles <- list()
+    for( i in 1:length( tests[[1]] ) ){
+        splitTestList <- strsplit( tests[[1]][ i ], "-" )
+        titles[[i]] <- splitTestList[[1]][1]
+    }
+    titles
+}
+
+getTestList <- function( testsToInclude ){
+    tests <- "'"
+    for ( test in as.list( strsplit( testsToInclude, "," )[[1]] ) ){
+        tests <- paste( tests, test, "','", sep="" )
+    }
+    tests <- substr( tests, 0, nchar( tests ) - 2 )
+    tests
+}
+
+multiTestSQLCommand <- function( branch, tests, builds, isDisplayingMultipleBuilds, operator=">= " ){
+    if ( isDisplayingMultipleBuilds ){
+        operator2 <- "<="
+        multipleBuildsToShow <- builds
+        singleBuild <- pipelineMinValue
+    }
+    else{
+        operator2 <- "="
+        multipleBuildsToShow <- 1
+        singleBuild <- builds
+    }
+
+    paste( "SELECT * ",
+           "FROM executed_test_tests a ",
+           "WHERE ( SELECT COUNT( * ) FROM executed_test_tests b ",
+           "WHERE b.branch='",
+           branch,
+           "' AND b.actual_test_name IN (",
+           tests,
+           ") AND a.actual_test_name = b.actual_test_name AND a.date <= b.date AND b.build ", operator,
+           singleBuild,
+           " ) ",
+           operator2,
+           " ",
+           multipleBuildsToShow,
+           " AND a.branch='",
+           branch,
+           "' AND a.actual_test_name IN (",
+           tests,
+           ") AND a.build ", operator,
+           singleBuild,
+           " ORDER BY a.actual_test_name DESC, a.date DESC",
+           sep="")
+}
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/dependencies/saveGraph.R b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/saveGraph.R
new file mode 100644
index 0000000..257ad8d
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/dependencies/saveGraph.R
@@ -0,0 +1,42 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+imageWidth <- 15
+imageHeight <- 10
+imageDPI <- 200
+
+saveGraph <- function( outputFile ){
+    print( paste( "Saving result graph to", outputFile ) )
+
+    tryCatch( ggsave( outputFile,
+                      width = imageWidth,
+                      height = imageHeight,
+                      dpi = imageDPI ),
+              error = function( e ){
+                  print( "[ERROR]: There was a problem saving the graph due to a graph formatting exception.  Error dump:" )
+                  print( e )
+                  quit( status = 1 )
+              }
+            )
+
+    print( paste( "[SUCCESS]: Successfully wrote result graph out to", outputFile ) )
+}
\ No newline at end of file
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/histogramMultipleTestGroups.R b/TestON/JenkinsFile/wikiGraphRScripts/histogramMultipleTestGroups.R
new file mode 100644
index 0000000..0143071
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/histogramMultipleTestGroups.R
@@ -0,0 +1,313 @@
+# Copyright 2018 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# ALL tests (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/ALL_master_build-latest_test-suite-summary.jpg):
+# Rscript histogramMultipleTestGroups.R <url> <port> <username> <pass> ALL master "FUNCbgpls,FUNCflow,FUNCformCluster,FUNCgroup,FUNCintent,FUNCintentRest,FUNCipv6Intent,FUNCnetCfg,FUNCnetconf,FUNCoptical,FUNCovsdbtest,FUNCvirNetNB,HAbackupRecover,HAclusterRestart,HAfullNetPartition,HAkillNodes,HAsanity,HAscaling,HAsingleInstanceRestart,HAstopNodes,HAswapNodes,HAupgrade,HAupgradeRollback,PLATdockertest,USECASE_SdnipFunction,USECASE_SdnipFunctionCluster,VPLSBasic,VPLSfailsafe" latest /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+# Command line arguments are read. Args include the database credentials, test name, branch name, and the directory to output files.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+testsToInclude <- 7
+build_to_show <- 8
+save_directory <- 9
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    specialArgs <- c( "tests-to-include-(as-one-string-sep-groups-by-semicolon-title-as-first-group-item-sep-by-dash)",
+                      "build-to-show" )
+    usage( "histogramMultipleTestGroups.R", specialArgs )
+    quit( status = 1 )
+}
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ---------------------
+# Test Case SQL Command
+# ---------------------
+
+print( "Generating Test Case SQL command." )
+
+sqlCommands <- generateGroupedTestSingleBuildSQLCommand( args[ branch_name ],
+                                                         args[ testsToInclude ],
+                                                         args[ build_to_show ] )
+
+titles <- getTitlesFromGroupTest( args[ branch_name ],
+                                  args[ testsToInclude ] )
+
+dbResults <- list()
+i <- 1
+for ( command in sqlCommands ){
+    dbResults[[i]] <- retrieveData( con, command )
+    i <- i + 1
+}
+
+print( "dbResult:" )
+print( dbResults )
+
+# -------------------------------
+# Create Title and Graph Filename
+# -------------------------------
+
+print( "Creating title of graph." )
+
+titlePrefix <- paste( args[ graph_title ], " ", sep="" )
+if ( args[ graph_title ] == "ALL" ){
+    titlePrefix <- ""
+}
+
+if ( args[ build_to_show ] == "latest" ){
+    buildTitle <- "\nLatest Test Results"
+    filebuild_to_show <- "latest"
+} else {
+    buildTitle <- paste( " \n Build #", args[ build_to_show ], sep="" )
+    filebuild_to_show <- args[ build_to_show ]
+}
+
+title <- paste( titlePrefix,
+                "Summary of Test Suites - ",
+                args[ branch_name ],
+                buildTitle,
+                sep="" )
+
+print( "Creating graph filename." )
+
+outputFile <- paste( args[ save_directory ],
+                     args[ graph_title ],
+                     "_",
+                     args[ branch_name ],
+                     "_build-",
+                     filebuild_to_show,
+                     "_test-suite-summary.jpg",
+                     sep="" )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+passNum <- list()
+failNum <- list()
+exeNum <- list()
+skipNum <- list()
+totalNum <- list()
+
+passPercent <- list()
+failPercent <- list()
+exePercent <- list()
+nonExePercent <- list()
+
+actualPassPercent <- list()
+actualFailPercent <- list()
+
+appName <- c()
+afpName <- c()
+nepName <- c()
+
+tmpPos <- c()
+tmpCases <- c()
+
+for ( i in 1:length( dbResults ) ){
+    t <- dbResults[[i]]
+
+    passNum[[i]] <- sum( t$num_passed )
+    failNum[[i]] <- sum( t$num_failed )
+    exeNum[[i]] <- passNum[[i]] + failNum[[i]]
+    totalNum[[i]] <- sum( t$num_planned )
+    skipNum[[i]] <- totalNum[[i]] - exeNum[[i]]
+
+    passPercent[[i]] <- passNum[[i]] / exeNum[[i]]
+    failPercent[[i]] <- failNum[[i]] / exeNum[[i]]
+    exePercent[[i]] <- exeNum[[i]] / totalNum[[i]]
+    nonExePercent[[i]] <- ( 1 - exePercent[[i]] ) * 100
+
+    actualPassPercent[[i]] <- passPercent[[i]] * exePercent[[i]] * 100
+    actualFailPercent[[i]] <- failPercent[[i]] * exePercent[[i]] * 100
+
+    appName <- c( appName, "Passed" )
+    afpName <- c( afpName, "Failed" )
+    nepName <- c( nepName, "Skipped/Unexecuted" )
+
+    tmpPos <- c( tmpPos, 100 - ( nonExePercent[[i]] / 2 ), actualPassPercent[[i]] + actualFailPercent[[i]] - ( actualFailPercent[[i]] / 2 ), actualPassPercent[[i]] - ( actualPassPercent[[i]] / 2 ) )
+    tmpCases <- c( tmpCases, skipNum[[i]], failNum[[i]], passNum[[i]] )
+}
+
+relativePosLength <- length( dbResults ) * 3
+
+relativePos <- c()
+relativeCases <- c()
+
+for ( i in 1:3 ){
+    relativePos <- c( relativePos, tmpPos[ seq( i, relativePosLength, 3 ) ] )
+    relativeCases <- c( relativeCases, tmpCases[ seq( i, relativePosLength, 3 ) ] )
+}
+names( actualPassPercent ) <- appName
+names( actualFailPercent ) <- afpName
+names( nonExePercent ) <- nepName
+
+labels <- paste( titles, "\n", totalNum, " Test Cases", sep="" )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing Data Frame" )
+
+dataFrame <- melt( c( nonExePercent, actualFailPercent, actualPassPercent ) )
+dataFrame$title <- seq( 1, length( dbResults ), by = 1 )
+colnames( dataFrame ) <- c( "perc", "key", "suite" )
+
+dataFrame$xtitles <- labels
+dataFrame$relativePos <- relativePos
+dataFrame$relativeCases <- relativeCases
+dataFrame$valueDisplay <- c( paste( round( dataFrame$perc, digits = 2 ), "% - ", relativeCases, " Tests", sep="" ) )
+
+dataFrame$key <- factor( dataFrame$key, levels=unique( dataFrame$key ) )
+
+dataFrame$willDisplayValue <- dataFrame$perc > 15.0 / length( dbResults )
+
+for ( i in 1:nrow( dataFrame ) ){
+    if ( relativeCases[[i]] == "1" ){
+        dataFrame[ i, "valueDisplay" ] <- c( paste( round( dataFrame$perc[[i]], digits = 2 ), "% - ", relativeCases[[i]], " Test", sep="" ) )
+    }
+    if ( !dataFrame[ i, "willDisplayValue" ] ){
+        dataFrame[ i, "valueDisplay" ] <- ""
+    }
+}
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# -------------------
+# Main Plot Generated
+# -------------------
+
+print( "Creating main plot." )
+
+mainPlot <- ggplot( data = dataFrame, aes( x = suite,
+                                           y = perc,
+                                           fill = key ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+theme_set( theme_grey( base_size = 26 ) )   # set the default text size of the graph.
+
+xScaleConfig <- scale_x_continuous( breaks = dataFrame$suite,
+                                    label = dataFrame$xtitles )
+yScaleConfig <- scale_y_continuous( breaks = seq( 0, 100,
+                                    by = 10 ) )
+
+xLabel <- xlab( "" )
+yLabel <- ylab( "Total Test Cases (%)" )
+
+theme <- graphTheme() + theme( axis.text.x = element_text( angle = 0, size = 25 - 1.25 * length( dbResults ) ) )
+
+title <- labs( title = title, subtitle = lastUpdatedLabel() )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        xScaleConfig +
+                        yScaleConfig +
+                        xLabel +
+                        yLabel +
+                        theme +
+                        title
+
+# ---------------------------
+# Generating Bar Graph Format
+# ---------------------------
+
+print( "Generating bar graph." )
+
+unexecutedColor <- webColor( "gray" )   # Gray
+failedColor <- webColor( "red" )        # Red
+passedColor <- webColor( "green" )      # Green
+
+colors <- scale_fill_manual( values=c( if ( "Skipped/Unexecuted" %in% dataFrame$key ){ unexecutedColor },
+                                       if ( "Failed" %in% dataFrame$key ){ failedColor },
+                                       if ( "Passed" %in% dataFrame$key ){ passedColor } ) )
+
+barGraphFormat <- geom_bar( stat = "identity", width = 0.8 )
+
+barGraphValues <- geom_text( aes( x = dataFrame$suite,
+                                  y = dataFrame$relativePos,
+                                  label = format( paste( dataFrame$valueDisplay ) ) ),
+                                  size = 15.50 / length( dbResults ) + 2.33, fontface = "bold" )
+
+result <- fundamentalGraphData +
+          colors +
+          barGraphFormat +
+          barGraphValues
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( outputFile ) # from saveGraph.R
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/pieMultipleTests.R b/TestON/JenkinsFile/wikiGraphRScripts/pieMultipleTests.R
new file mode 100644
index 0000000..a9a1cd4
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/pieMultipleTests.R
@@ -0,0 +1,282 @@
+# Copyright 2018 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example scripts:
+#
+# ALL tests with pass/fail (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/ALL_master_build-latest_executed_pieChart.jpg):
+# Rscript pieMultipleTests.R <url> <port> <username> <pass> ALL master "FUNCbgpls,FUNCflow,FUNCformCluster,FUNCgroup,FUNCintent,FUNCintentRest,FUNCipv6Intent,FUNCnetCfg,FUNCnetconf,FUNCoptical,FUNCovsdbtest,FUNCvirNetNB,HAbackupRecover,HAclusterRestart,HAfullNetPartition,HAkillNodes,HAsanity,HAscaling,HAsingleInstanceRestart,HAstopNodes,HAswapNodes,HAupgrade,HAupgradeRollback,PLATdockertest,USECASE_SdnipFunction,USECASE_SdnipFunctionCluster,VPLSBasic,VPLSfailsafe" latest y /path/to/save/directory/
+#
+# ALL tests with execution result (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/ALL_master_build-latest_passfail_pieChart.jpg):
+# Rscript pieMultipleTests.R <url> <port> <username> <pass> ALL master "FUNCbgpls,FUNCflow,FUNCformCluster,FUNCgroup,FUNCintent,FUNCintentRest,FUNCipv6Intent,FUNCnetCfg,FUNCnetconf,FUNCoptical,FUNCovsdbtest,FUNCvirNetNB,HAbackupRecover,HAclusterRestart,HAfullNetPartition,HAkillNodes,HAsanity,HAscaling,HAsingleInstanceRestart,HAstopNodes,HAswapNodes,HAupgrade,HAupgradeRollback,PLATdockertest,USECASE_SdnipFunction,USECASE_SdnipFunctionCluster,VPLSBasic,VPLSfailsafe" latest n /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+tests_to_include <- 7
+build_to_show <- 8
+is_displaying_plan <- 9
+save_directory <- 10
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+if ( is.na( args[ save_directory ] ) ){
+
+    # Check if sufficient args are provided.
+    if ( length( args ) != save_directory ){
+        specialArgs <- c(  "tests-to-include",
+                           "build-to-show",
+                           "is-displaying-plan" )
+        usage( "trendSCPF.R", specialArgs )
+        quit( status = 1 )
+    }
+}
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- dbConnect( dbDriver( "PostgreSQL" ),
+                  dbname = "onostest",
+                  host = args[ database_host ],
+                  port = strtoi( args[ database_port ] ),
+                  user = args[ database_u_id ],
+                  password = args[ database_pw ] )
+
+# ---------------------
+# Test Case SQL Command
+# ---------------------
+
+print( "Generating Test Case SQL command." )
+
+command <- generateMultiTestSingleBuildSQLCommand( args[ branch_name ],
+                                                   args[ tests_to_include ],
+                                                   args[ build_to_show ] )
+
+dbResult <- retrieveData( con, command )
+
+print( "dbResult:" )
+print( dbResult )
+
+# -------------------------------
+# Create Title and Graph Filename
+# -------------------------------
+
+print( "Creating title of graph." )
+
+typeOfPieTitle <- "Executed Results"
+typeOfPieFile <- "_passfail"
+isPlannedPie <- FALSE
+if ( args[ is_displaying_plan ] == "y" ){
+    typeOfPieTitle <- "Test Execution"
+    typeOfPieFile <- "_executed"
+    isPlannedPie <- TRUE
+}
+
+if ( args[ build_to_show ] == "latest" ){
+    buildTitle <- "\nLatest Test Results"
+    filebuild_to_show <- "latest"
+} else {
+    buildTitle <- paste( " \n Build #", args[ build_to_show ], sep="" )
+    filebuild_to_show <- args[ build_to_show ]
+}
+
+title <- paste( args[ graph_title ],
+                " Tests: Summary of ",
+                typeOfPieTitle,
+                "",
+                " - ",
+                args[ branch_name ],
+                buildTitle,
+                sep="" )
+
+print( "Creating graph filename." )
+
+outputFile <- paste( args[ save_directory ],
+                     args[ graph_title ],
+                     "_",
+                     args[ branch_name ],
+                     "_build-",
+                     filebuild_to_show,
+                     typeOfPieFile,
+                     "_pieChart.jpg",
+                     sep="" )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+t <- subset( dbResult, select=c( "actual_test_name", "num_passed", "num_failed", "num_planned" ) )
+
+executedTests <- sum( t$num_passed ) + sum( t$num_failed )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing Data Frame." )
+
+if ( isPlannedPie ){
+    nonExecutedTests <- sum( t$num_planned ) - executedTests
+    totalTests <- sum( t$num_planned )
+
+    executedPercent <- round( executedTests / totalTests * 100, digits = 2 )
+    nonExecutedPercent <- 100 - executedPercent
+
+    dfData <- c( nonExecutedPercent, executedPercent )
+
+    labels <- c( "Executed Test Cases", "Skipped Test Cases" )
+
+    dataFrame <- data.frame(
+        rawData <- dfData,
+        displayedData <- c( paste( nonExecutedPercent, "%\n", nonExecutedTests, " / ", totalTests, " Tests", sep="" ), paste( executedPercent, "%\n", executedTests, " / ", totalTests," Tests", sep="" ) ),
+        names <- factor( rev( labels ), levels = labels ) )
+} else {
+    sumPassed <- sum( t$num_passed )
+    sumFailed <- sum( t$num_failed )
+    sumExecuted <- sumPassed + sumFailed
+
+    percentPassed <- sumPassed / sumExecuted
+    percentFailed <- sumFailed / sumExecuted
+
+    dfData <- c( percentFailed, percentPassed )
+    labels <- c( "Failed Test Cases", "Passed Test Cases" )
+
+    dataFrame <- data.frame(
+        rawData <- dfData,
+        displayedData <- c( paste( round( percentFailed * 100, 2 ), "%\n", sumFailed, " / ", sumExecuted, " Tests", sep="" ), paste( round( percentPassed * 100, 2 ), "%\n", sumPassed, " / ", sumExecuted, " Tests", sep="" ) ),
+        names <- factor( labels, levels = rev( labels ) ) )
+}
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# -------------------
+# Main Plot Generated
+# -------------------
+
+print( "Creating main plot." )
+# Create the primary plot here.
+# ggplot contains the following arguments:
+#     - data: the data frame that the graph will be based off of
+#    - aes: the asthetics of the graph which require:
+#        - x: x-axis values (usually iterative, but it will become build # later)
+#        - y: y-axis values (usually tests)
+#        - color: the category of the colored lines (usually status of test)
+
+mainPlot <- ggplot( data = dataFrame,
+                    aes( x = "", y=rawData, fill = names ) )
+
+# -------------------
+# Main Plot Formatted
+# -------------------
+
+print( "Formatting main plot." )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+defaultTextSize()
+
+# Set other graph configurations here.
+theme <- graphTheme() +
+         theme( axis.text.x = element_blank(),
+                axis.title.x = element_blank(),
+                axis.title.y = element_blank(),
+                axis.ticks = element_blank(),
+                panel.border = element_blank(),
+                panel.grid=element_blank(),
+                legend.position = "bottom" )
+
+title <- labs( title = title, subtitle = lastUpdatedLabel() )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        theme +
+                        title
+
+# ----------------------------
+# Generating Line Graph Format
+# ----------------------------
+
+print( "Generating line graph." )
+
+if ( isPlannedPie ){
+    executedColor <- webColor( "light_blue" )
+    nonExecutedColor <- webColor( "gray" )
+    pieColors <- scale_fill_manual( values = c( executedColor, nonExecutedColor ) )
+} else {
+    passColor <- webColor( "green" )
+    failColor <- webColor( "red" )
+    pieColors <- scale_fill_manual( values = c( passColor, failColor ) )
+}
+
+pieFormat <- geom_bar( width = 1, stat = "identity" )
+pieLabels <- geom_text( aes( y = rawData / length( rawData ) + c( 0, cumsum( rawData )[ -length( rawData ) ] ) ),
+                             label = dataFrame$displayedData,
+                             size = 7, fontface = "bold" )
+
+
+result <- fundamentalGraphData +
+          pieFormat + coord_polar( "y" ) + pieLabels + pieColors
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( outputFile )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/trendIndividualTest.R b/TestON/JenkinsFile/wikiGraphRScripts/trendIndividualTest.R
new file mode 100644
index 0000000..f2f46bb
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/trendIndividualTest.R
@@ -0,0 +1,274 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# FUNCintent Results 20 Builds (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/FUNCintent_master_20-builds_graph.jpg):
+# Rscript trendIndividualTest.R <url> <port> <username> <pass> FUNCintent master 20 /path/to/save/directory/
+
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+# Command line arguments are read. Args include the database credentials, test name, branch name, and the directory to output files.
+print( "Reading commmand-line args." )
+args <- commandArgs( trailingOnly=TRUE )
+
+# Args 1 through 6 reside in fundamentalGraphData.R
+buildsToShow <- 7
+save_directory <- 8
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+if ( length( args ) != save_directory ){
+    specialArgs <- c(  "#-builds-to-show" )
+    usage( "trendIndividualTest.R", specialArgs )
+    quit( status = 1 )
+}
+
+# -------------------------------
+# Create Title and Graph Filename
+# -------------------------------
+
+print( "Creating title of graph." )
+
+title <- paste( args[ graph_title ],
+                " - ",
+                args[ branch_name ],
+                " \n Results of Last ",
+                args[ buildsToShow ],
+                " Builds",
+                sep="" )
+
+print( "Creating graph filename." )
+
+outputFile <- paste( args[ save_directory ],
+                     args[ graph_title ],
+                     "_",
+                     args[ branch_name ],
+                     "_",
+                     args[ buildsToShow ],
+                     "-builds_graph.jpg",
+                     sep="" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ---------------------
+# Test Case SQL Command
+# ---------------------
+print( "Generating Test Case SQL command." )
+
+command <- simpleSQLCommand( args[ graph_title ], args[ branch_name ], args[ buildsToShow ] )
+
+fileData <- retrieveData( con, command )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# -------------------------------------------------------
+# Combining Passed, Failed, and Planned Data
+# -------------------------------------------------------
+
+print( "Combining Passed, Failed, and Planned Data." )
+
+requiredColumns <- c( "num_failed", "num_passed", "num_planned" )
+
+tryCatch( categories <- c( fileData[ requiredColumns] ),
+          error = function( e ) {
+              print( "[ERROR] One or more expected columns are missing from the data. Please check that the data and SQL command are valid, then try again." )
+              print( "Required columns: " )
+              print( requiredColumns )
+              print( "Actual columns: " )
+              print( names( fileData ) )
+              print( "Error dump:" )
+              print( e )
+              quit( status = 1 )
+          }
+         )
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing data frame from combined data." )
+
+dataFrame <- melt( categories )
+
+# Rename column names in dataFrame
+colnames( dataFrame ) <- c( "Tests",
+                            "Status" )
+
+# Add build dates to the dataFrame
+dataFrame$build <- fileData$build
+
+# Format data frame so that the data is in the same order as it appeared in the file.
+dataFrame$Status <- as.character( dataFrame$Status )
+dataFrame$Status <- factor( dataFrame$Status, levels = unique( dataFrame$Status ) )
+
+# Add planned, passed, and failed results to the dataFrame (for the fill below the lines)
+dataFrame$num_planned <- fileData$num_planned
+dataFrame$num_passed <- fileData$num_passed
+dataFrame$num_failed <- fileData$num_failed
+
+# Adding a temporary reversed iterative list to the dataFrame so that there are no gaps in-between build numbers.
+dataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
+
+# Omit any data that doesn't exist
+dataFrame <- na.omit( dataFrame )
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# -------------------
+# Main Plot Generated
+# -------------------
+
+print( "Creating main plot." )
+
+mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
+                                           y = Tests,
+                                           color = Status ) )
+
+# -------------------
+# Main Plot Formatted
+# -------------------
+
+print( "Formatting main plot." )
+
+# geom_ribbon is used so that there is a colored fill below the lines. These values shouldn't be changed.
+failedColor <- geom_ribbon( aes( ymin = 0,
+                                 ymax = dataFrame$num_failed ),
+                                 fill = webColor( "red" ),
+                                 linetype = 0,
+                                 alpha = 0.07 )
+
+passedColor <- geom_ribbon( aes( ymin = 0,
+                                 ymax = dataFrame$num_passed ),
+                                 fill = webColor( "green" ),
+                                 linetype = 0,
+                                 alpha = 0.05 )
+
+plannedColor <- geom_ribbon( aes( ymin = 0,
+                                  ymax = dataFrame$num_planned ),
+                                  fill = webColor( "blue" ),
+                                  linetype = 0,
+                                  alpha = 0.01 )
+
+# Colors for the lines
+lineColors <- scale_color_manual( values=c( webColor( "red" ),
+                                            webColor( "green" ),
+                                            webColor( "blue" ) ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+defaultTextSize()
+
+xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
+                                    label = dataFrame$build )
+yScaleConfig <- scale_y_continuous( breaks = seq( 0, max( dataFrame$Tests ),
+                                    by = ceiling( max( dataFrame$Tests ) / 10 ) ) )
+
+xLabel <- xlab( "Build Number" )
+yLabel <- ylab( "Test Cases" )
+
+legendLabels <- scale_colour_discrete( labels = c( "Failed Cases",
+                                                   "Passed Cases",
+                                                   "Planned Cases" ) )
+
+title <- labs( title = title, subtitle = lastUpdatedLabel() )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        plannedColor +
+                        passedColor +
+                        failedColor +
+                        xScaleConfig +
+                        yScaleConfig +
+                        xLabel +
+                        yLabel +
+                        lineColors +
+                        legendLabels +
+                        graphTheme() +  # from fundamentalGraphData.R
+                        title
+
+# ----------------------------
+# Generating Line Graph Format
+# ----------------------------
+
+print( "Generating line graph." )
+
+lineGraphFormat <- geom_line( size = 1.1 )
+pointFormat <- geom_point( size = 3 )
+
+result <- fundamentalGraphData +
+           lineGraphFormat +
+           pointFormat
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( outputFile ) # from saveGraph.R
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/trendMultipleTests.R b/TestON/JenkinsFile/wikiGraphRScripts/trendMultipleTests.R
new file mode 100644
index 0000000..524d715
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/trendMultipleTests.R
@@ -0,0 +1,257 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Example script:
+# FUNC Test Results Trend (https://jenkins.onosproject.org/view/QA/job/postjob-VM/lastSuccessfulBuild/artifact/FUNC_master_overview.jpg):
+# Rscript trendMultipleTests.R <url> <port> <username> <pass> FUNC master "FUNCflow,FUNCformCluster,FUNCgroup,FUNCintent,FUNCintentRest,FUNCipv6Intent,FUNCnetCfg,FUNCnetconf,FUNCoptical,FUNCovsdbtest" 20 /path/to/save/directory/
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+tests_to_include <- 7
+builds_to_show <- 8
+save_directory <- 9
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+args <- commandArgs( trailingOnly=TRUE )
+
+if ( length( args ) != save_directory ){
+    specialArgs <- c(  "tests-to-include-(as-one-string)",
+                       "builds-to-show" )
+    usage( "trendMultipleTests.R", specialArgs )
+    quit( status = 1 )
+}
+
+# -------------------------------
+# Create Title and Graph Filename
+# -------------------------------
+
+print( "Creating title of graph." )
+
+title <- paste( args[ graph_title ],
+                " Test Results Trend - ",
+                args[ branch_name ],
+                " \n Results of Last ",
+                args[ builds_to_show ],
+                " Nightly Builds",
+                sep="" )
+
+print( "Creating graph filename." )
+
+outputFile <- paste( args[ save_directory ],
+                     args[ graph_title ],
+                     "_",
+                     args[ branch_name ],
+                     "_overview.jpg",
+                     sep="" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+
+con <- initSQL( args[ database_host ],
+                args[ database_port ],
+                args[ database_u_id ],
+                args[ database_pw ] )
+
+# ---------------------
+# Test Case SQL Command
+# ---------------------
+
+print( "Generating Test Case SQL command." )
+
+command <- generateMultiTestMultiBuildSQLCommand( args[ branch_name ],
+                                                  args[ tests_to_include ],
+                                                  args[ builds_to_show ] )
+
+dbResult <- retrieveData( con, command )
+maxBuild <- max( dbResult[ 'build' ] ) - strtoi( args[ builds_to_show ] )
+dbResult <- dbResult[ which( dbResult[,4] > maxBuild ), ]
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+t <- subset( dbResult, select=c( "actual_test_name", "build", "num_failed" ) )
+t$num_failed <- ceiling( t$num_failed / ( t$num_failed + 1 ) )
+t$num_planned <- 1
+
+fileData <- aggregate( t$num_failed, by=list( Category=t$build ), FUN=sum )
+colnames( fileData ) <- c( "build", "num_failed" )
+
+fileData$num_planned <- ( aggregate( t$num_planned, by=list( Category=t$build ), FUN=sum ) )$x
+fileData$num_passed <- fileData$num_planned - fileData$num_failed
+
+print(fileData)
+
+# --------------------
+# Construct Data Frame
+# --------------------
+#
+
+dataFrame <- melt( subset( fileData, select=c( "num_failed", "num_passed", "num_planned" ) ) )
+dataFrame$build <- fileData$build
+colnames( dataFrame ) <- c( "status", "results", "build" )
+
+dataFrame$num_failed <- fileData$num_failed
+dataFrame$num_passed <- fileData$num_passed
+dataFrame$num_planned <- fileData$num_planned
+dataFrame$iterative <- seq( 1, nrow( fileData ), by = 1 )
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# -------------------
+# Main Plot Generated
+# -------------------
+
+print( "Creating main plot." )
+# Create the primary plot here.
+# ggplot contains the following arguments:
+#     - data: the data frame that the graph will be based off of
+#    - aes: the asthetics of the graph which require:
+#        - x: x-axis values (usually iterative, but it will become build # later)
+#        - y: y-axis values (usually tests)
+#        - color: the category of the colored lines (usually status of test)
+
+mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
+                                           y = results,
+                                           color = status ) )
+
+# -------------------
+# Main Plot Formatted
+# -------------------
+
+print( "Formatting main plot." )
+
+# geom_ribbon is used so that there is a colored fill below the lines. These values shouldn't be changed.
+failedColor <- geom_ribbon( aes( ymin = 0,
+                                 ymax = dataFrame$num_failed ),
+                                 fill = webColor( "red" ),
+                                 linetype = 0,
+                                 alpha = 0.07 )
+
+passedColor <- geom_ribbon( aes( ymin = 0,
+                                 ymax = dataFrame$num_passed ),
+                                 fill = webColor( "light_blue" ),
+                                 linetype = 0,
+                                 alpha = 0.05 )
+
+plannedColor <- geom_ribbon( aes( ymin = 0,
+                                  ymax = dataFrame$num_planned ),
+                                  fill = webColor( "black" ),
+                                  linetype = 0,
+                                  alpha = 0.01 )
+
+# Colors for the lines
+lineColors <- scale_color_manual( values=c( webColor( "red" ),
+                                            webColor( "light_blue" ),
+                                            webColor( "black" )),
+                                  labels = c( "Containing Failures",
+                                              "No Failures",
+                                              "Total Built" ) )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+defaultTextSize()
+
+xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative,
+                                    label = dataFrame$build )
+yScaleConfig <- scale_y_continuous( breaks = seq( 0, max( dataFrame$results ),
+                                    by = ceiling( max( dataFrame$results ) / 10 ) ) )
+
+xLabel <- xlab( "Build Number" )
+yLabel <- ylab( "Tests" )
+
+theme <- graphTheme()
+
+title <- labs( title = title, subtitle = lastUpdatedLabel() )
+
+# Store plot configurations as 1 variable
+fundamentalGraphData <- mainPlot +
+                        plannedColor +
+                        passedColor +
+                        failedColor +
+                        xScaleConfig +
+                        yScaleConfig +
+                        xLabel +
+                        yLabel +
+                        theme +
+                        title +
+                        lineColors
+
+# ----------------------------
+# Generating Line Graph Format
+# ----------------------------
+
+print( "Generating line graph." )
+
+lineGraphFormat <- geom_line( size = 1.1 )
+pointFormat <- geom_point( size = 3 )
+
+result <- fundamentalGraphData +
+           lineGraphFormat +
+           pointFormat
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( outputFile )
diff --git a/TestON/JenkinsFile/wikiGraphRScripts/trendSCPF.R b/TestON/JenkinsFile/wikiGraphRScripts/trendSCPF.R
new file mode 100644
index 0000000..b2c68c6
--- /dev/null
+++ b/TestON/JenkinsFile/wikiGraphRScripts/trendSCPF.R
@@ -0,0 +1,251 @@
+# Copyright 2017 Open Networking Foundation (ONF)
+#
+# Please refer questions to either the onos test mailing list at <onos-test@onosproject.org>,
+# the System Testing Plans and Results wiki page at <https://wiki.onosproject.org/x/voMg>,
+# or the System Testing Guide page at <https://wiki.onosproject.org/x/WYQg>
+#
+#     TestON is free software: you can redistribute it and/or modify
+#     it under the terms of the GNU General Public License as published by
+#     the Free Software Foundation, either version 2 of the License, or
+#     (at your option) any later version.
+#
+#     TestON is distributed in the hope that it will be useful,
+#     but WITHOUT ANY WARRANTY; without even the implied warranty of
+#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#     GNU General Public License for more details.
+#
+#     You should have received a copy of the GNU General Public License
+#     along with TestON.  If not, see <http://www.gnu.org/licenses/>.
+#
+# If you have any questions, or if you don't understand R,
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
+
+# This is the R script that generates the SCPF front page graphs.
+
+
+# **********************************************************
+# STEP 1: Data management.
+# **********************************************************
+
+# Args 1 through 6 reside in fundamentalGraphData.R
+num_dates = 7
+sql_commands = 8
+y_axis = 9
+old_flow = 10
+save_directory = 11
+
+print( "**********************************************************" )
+print( "STEP 1: Data management." )
+print( "**********************************************************" )
+
+# ----------------
+# Import Libraries
+# ----------------
+
+print( "Importing libraries." )
+library( ggplot2 )
+library( reshape2 )
+library( RPostgreSQL )
+source( "dependencies/saveGraph.R" )
+source( "dependencies/fundamentalGraphData.R" )
+source( "dependencies/initSQL.R" )
+source( "dependencies/cliArgs.R" )
+
+# -------------------
+# Check CLI Arguments
+# -------------------
+
+print( "Verifying CLI args." )
+
+args <- commandArgs( trailingOnly=TRUE )
+
+# Check if sufficient args are provided.
+if ( length( args ) != save_directory ){
+    specialArgs <- c(  "#-dates",
+                       "SQL-command",
+                       "y-axis-title",
+                       "using-old-flow" )
+    usage( "trendSCPF.R", specialArgs )
+    quit( status = 1 )
+}
+
+# -------------------------------
+# Create Title and Graph Filename
+# -------------------------------
+
+print( "Creating title of graph" )
+
+# Title of graph based on command line args.
+
+title <- args[ graph_title ]
+title <- paste( title, if( args[ old_flow ] == "y" ) "\nWith Eventually Consistent Flow Rule Store" else "" )
+
+print( "Creating graph filename." )
+
+# Filenames for the output graph include the testname, branch, and the graph type.
+outputFile <- paste( args[ save_directory ],
+                    "SCPF_Front_Page_",
+                    gsub( " ", "_", args[ graph_title ] ),
+                    "_",
+                    args[ branch_name ],
+                    "_",
+                    args[ num_dates ],
+                    "-dates",
+                    if( args[ old_flow ] == "y" ) "_OldFlow" else "",
+                    "_graph.jpg",
+                    sep="" )
+
+# ------------------
+# SQL Initialization
+# ------------------
+
+print( "Initializing SQL" )
+con <- initSQL( args[ database_host ], args[ database_port ], args[ database_u_id ], args[ database_pw ] )
+
+fileData <- retrieveData( con, args[ sql_commands ] )
+
+# **********************************************************
+# STEP 2: Organize data.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 2: Organize Data." )
+print( "**********************************************************" )
+
+# Create lists c() and organize data into their corresponding list.
+print( "Combine data retrieved from databases into a list." )
+
+buildNums <- fileData$build
+fileData$build <- c()
+print( fileData )
+
+if ( ncol( fileData ) > 1 ){
+    for ( i in 2:ncol( fileData ) ){
+        fileData[ i ] <- fileData[ i - 1 ] + fileData[ i ]
+    }
+}
+
+
+# --------------------
+# Construct Data Frame
+# --------------------
+
+print( "Constructing data frame from combined data." )
+
+dataFrame <- melt( fileData )
+dataFrame$date <- fileData$date
+
+colnames( dataFrame ) <- c( "Legend",
+                            "Values" )
+
+# Format data frame so that the data is in the same order as it appeared in the file.
+dataFrame$Legend <- as.character( dataFrame$Legend )
+dataFrame$Legend <- factor( dataFrame$Legend, levels=unique( dataFrame$Legend ) )
+dataFrame$build <- buildNums
+
+# Adding a temporary iterative list to the dataFrame so that there are no gaps in-between date numbers.
+dataFrame$iterative <- rev( seq( 1, nrow( fileData ), by = 1 ) )
+
+dataFrame <- na.omit( dataFrame )   # Omit any data that doesn't exist
+
+print( "Data Frame Results:" )
+print( dataFrame )
+
+# **********************************************************
+# STEP 3: Generate graphs.
+# **********************************************************
+
+print( "**********************************************************" )
+print( "STEP 3: Generate Graph." )
+print( "**********************************************************" )
+
+# -------------------
+# Main Plot Generated
+# -------------------
+
+print( "Creating main plot." )
+# Create the primary plot here.
+# ggplot contains the following arguments:
+#     - data: the data frame that the graph will be based off of
+#    - aes: the asthetics of the graph which require:
+#        - x: x-axis values (usually iterative, but it will become date # later)
+#        - y: y-axis values (usually tests)
+#        - color: the category of the colored lines (usually legend of test)
+
+mainPlot <- ggplot( data = dataFrame, aes( x = iterative,
+                                           y = Values,
+                                           color = Legend ) )
+
+# -------------------
+# Main Plot Formatted
+# -------------------
+
+print( "Formatting main plot." )
+
+limitExpansion <- expand_limits( y = 0 )
+
+tickLength <- 3
+breaks <- seq( max( dataFrame$iterative ) %% tickLength, max( dataFrame$iterative ), by = tickLength )
+breaks <- breaks[ which( breaks != 0 ) ]
+
+maxYDisplay <- max( dataFrame$Values ) * 1.05
+yBreaks <- ceiling( max( dataFrame$Values ) / 10 )
+yScaleConfig <- scale_y_continuous( breaks = seq( 0, maxYDisplay, by = yBreaks ) )
+xScaleConfig <- scale_x_continuous( breaks = breaks, label = rev( dataFrame$build )[ breaks ] )
+
+# ------------------------------
+# Fundamental Variables Assigned
+# ------------------------------
+
+print( "Generating fundamental graph data." )
+
+defaultTextSize()
+xLabel <- xlab( "Build" )
+yLabel <- ylab( args[ y_axis ] )
+
+# Set other graph configurations here.
+theme <- graphTheme()
+
+title <- labs( title = title, subtitle = lastUpdatedLabel() )
+
+# Colors used for the lines.
+# Note: graphs that have X lines will use the first X colors in this list.
+colors <- scale_color_manual( values=c( webColor( "black" ),   # black
+                                        webColor( "blue" ),   # blue
+                                        webColor( "red" ),   # red
+                                        webColor( "green" ),   # green
+                                        webColor( "yellow" ),   # yellow
+                                        webColor( "purple" ) ) ) # purple (not used)
+
+wrapLegend <- wrapLegend()
+
+fundamentalGraphData <- mainPlot +
+                        limitExpansion +
+                        xScaleConfig +
+                        yScaleConfig +
+                        xLabel +
+                        yLabel +
+                        theme +
+                        colors +
+                        wrapLegend +
+                        title
+
+# ----------------------------
+# Generating Line Graph Format
+# ----------------------------
+
+print( "Generating line graph." )
+
+lineGraphFormat <- geom_line( size = 0.75 )
+pointFormat <- geom_point( size = 1.75 )
+
+result <- fundamentalGraphData +
+          lineGraphFormat +
+          pointFormat
+
+# -----------------------
+# Exporting Graph to File
+# -----------------------
+
+saveGraph( outputFile ) # from saveGraph.R
+quit( status = 0 )