Minor graph fixes, see details below

- Fix to SCPFmastershipFailoverLat.R unreferenced variable
- Removed misleading comments
- Fix to maximum y-axis in various SCPF scripts
- Minor code refractoring
- Changed contact info to university email

Change-Id: I825f435827f824c094b61afc9abe2559e989cdf3
diff --git a/TestON/JenkinsFile/scripts/SCPFbatchFlowResp.R b/TestON/JenkinsFile/scripts/SCPFbatchFlowResp.R
index 476cafb..3698afb 100644
--- a/TestON/JenkinsFile/scripts/SCPFbatchFlowResp.R
+++ b/TestON/JenkinsFile/scripts/SCPFbatchFlowResp.R
@@ -18,7 +18,7 @@
 #     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: jeremyr@opennetworking.org
+# please contact Jeremy Ronquillo: j_ronquillo@u.pacific.edu
 
 # **********************************************************
 # STEP 1: File management.
@@ -26,9 +26,7 @@
 
 print( "STEP 1: File management." )
 
-# Command line arguments are read. Args usually include the database filename and the output
-# directory for the graphs to save to.
-# ie: Rscript SCPFgraphGenerator SCPFsampleDataDB.csv ~/tmp/
+# Command line arguments are read.
 print( "Reading commmand-line args." )
 args <- commandArgs( trailingOnly=TRUE )
 
@@ -46,9 +44,7 @@
     q()  # basically exit(), but in R
 }
 
-# Filenames for output graphs include the testname and the graph type.
-# See the examples below. paste() is used to concatenate strings.
-
+# paste() is used to concatenate strings.
 errBarOutputFile <- paste( args[ 7 ], args[ 5 ], sep="" )
 errBarOutputFile <- paste( errBarOutputFile, args[ 6 ], sep="_" )
 errBarOutputFile <- paste( errBarOutputFile, "_PostGraph.jpg", sep="" )
@@ -101,7 +97,7 @@
 
 mainPlot <- ggplot( data = dataFrame, aes( x = iterative, y = ms, fill = type ) )
 xScaleConfig <- scale_x_continuous( breaks = dataFrame$iterative, label = dataFrame$date )
-xLabel <- xlab( "date" )
+xLabel <- xlab( "Build Date" )
 yLabel <- ylab( "Latency (ms)" )
 fillLabel <- labs( fill="Type" )
 theme <- theme( plot.title=element_text( hjust = 0.5, size = 28, face='bold' ) )