--- a/plotwithscale.xml	Wed Jun 14 13:58:04 2017 -0400
+++ b/plotwithscale.xml	Wed Jun 14 15:20:32 2017 -0400
@@ -22,19 +22,19 @@
       iwtomicstests='${testids}'
       iwtomicsselectedfeatures='${featureids}'
 
-      #set test_subset = '"\\|"'.join( [ str( $e.test ) for $e in $scalesection.thresholdontestscale ] )
+      #set test_subset = '|'.join( [ str( $e.test ) for $e in $scalesection.thresholdontestscale ] )
       test_subset='${test_subset}'
-      #set feature_subset = '"\\|"'.join( [ str( $e.feature ) for $e in $scalesection.thresholdontestscale ] )
+      #set feature_subset = '|'.join( [ str( $e.feature ) for $e in $scalesection.thresholdontestscale ] )
       feature_subset='${feature_subset}'
-      #set scale_subset = '","'.join( [ str( $e.scale ) for $e in $scalesection.thresholdontestscale ] )
+      #set scale_subset = ','.join( [ str( $e.scale ) for $e in $scalesection.thresholdontestscale ] )
       scale_subset='c(${scale_subset})'
 
       testalpha='${plotres.alpha}'
       average='${plotres.average}'
       size='${plotres.size}'
-      plottype='${plotres.conditionalplottype.plottype}'
+      plottype="'${plotres.conditionalplottype.plottype}'"
       #if $plotres.conditionalplottype.plottype == 'boxplot':
-        #set probs = '","'.join( [ str( $p.prob ) for $p in $plotres.conditionalplottype.probabilitiessection.probabilities ] )
+        #set probs = ','.join( [ str( $p.prob ) for $p in $plotres.conditionalplottype.probabilitiessection.probabilities ] )
         #if $probs != "":
           probs='c(${plotres.conditionalplottype.probabilitiessection.prob0},${plotres.conditionalplottype.probabilitiessection.prob1},${plotres.conditionalplottype.probabilitiessection.prob2},${probs})'
         #else:
@@ -42,7 +42,7 @@
         #end if
       #end if
 
-      groupby='${plotsum.conditionalgroupby.groupby}'
+      groupby="'${plotsum.conditionalgroupby.groupby}'"
       #if $plotsum.conditionalgroupby.groupby == "test":
         summaryalpha='${plotsum.conditionalgroupby.testalphaplot}'
         only_significant='${plotsum.conditionalgroupby.testonlysig}'