txt = ''
txt += """
source("%s")
- """ % self.parent.RscriptsPath['chdfunct']
+ """ % ffr(self.parent.RscriptsPath['chdfunct'])
txt += """
load("%s")
- """ % self.pathout['RData']
+ """ % ffr(self.pathout['RData'])
txt += """
dataact<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
- """ % self.pathout['Contout']
+ """ % ffr(self.pathout['Contout'])
txt += """
dataet<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
- """ % self.pathout['ContEtOut']
+ """ % ffr(self.pathout['ContEtOut'])
txt += """
clnb<-%i
""" % self.clnb
tablesqrpact<-BuildProf(as.matrix(dataact),n1,clnb)
tablesqrpet<-BuildProf(as.matrix(dataet),n1,clnb)
PrintProfile(n1,tablesqrpact[4],tablesqrpet[4],tablesqrpact[5],tablesqrpet[5],%i,"%s","%s")
- """ % (self.clnb, self.pathout['PROFILE_OUT'], self.pathout['ANTIPRO_OUT'])
+ """ % (self.clnb, ffr(self.pathout['PROFILE_OUT']), ffr(self.pathout['ANTIPRO_OUT']))
txt += """
colnames(tablesqrpact[[2]])<-paste('classe',1:clnb,sep=' ')
colnames(tablesqrpact[[1]])<-paste('classe',1:clnb,sep=' ')
ptabletot<-rbind(as.data.frame(tablesqrpact[1]),as.data.frame(tablesqrpet[1]))
gbcluster<-n1
write.csv2(chistabletot,file="%s")
- """ % self.pathout['chisqtable']
+ """ % ffr(self.pathout['chisqtable'])
txt += """
write.csv2(ptabletot,file="%s")
- """ % self.pathout['ptable']
+ """ % ffr(self.pathout['ptable'])
txt += """
write.csv2(gbcluster,file="%s")
- """ % self.pathout['SbyClasseOut']
+ """ % ffr(self.pathout['SbyClasseOut'])
if self.clnb > 2 :
txt += """
library(ca)
fin<-rowtot
afc<-AddCorrelationOk(afc)
source("%s")
- """ % self.parent.RscriptsPath['Rgraph']
+ """ % ffr(self.parent.RscriptsPath['Rgraph'])
txt += """
afc <- summary.ca.dm(afc)
write.csv2(afc_table$facteur, file = "%s")
write.csv2(afc_table$colonne, file = "%s")
write.csv2(afc_table$ligne, file = "%s")
- """ % (self.pathout['afc_facteur'], self.pathout['afc_col'], self.pathout['afc_row'])
+ """ % (ffr(self.pathout['afc_facteur']), ffr(self.pathout['afc_col']), ffr(self.pathout['afc_row']))
txt += """
xlab <- paste('facteur 1 - ', round(afc$facteur[1,2],2), sep = '')
""" % "0.9"
txt += """
xyminmax <- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=1, fin=(debet-1), xlab = xlab, ylab = ylab)
- """ % (self.pathout['AFC2DL_OUT'])
+ """ % (ffr(self.pathout['AFC2DL_OUT']))
txt += """
PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=debet, fin=fin, xlab = xlab, ylab = ylab, xmin = xyminmax$xminmax[1], xmax = xyminmax$xminmax[2], ymin = xyminmax$yminmax[1], ymax = xyminmax$yminmax[2])
- """ % (self.pathout['AFC2DSL_OUT'])
+ """ % (ffr(self.pathout['AFC2DSL_OUT']))
txt += """
PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", col = TRUE, what='coord', xlab = xlab, ylab = ylab, xmin = xyminmax$xminmax[1], xmax = xyminmax$xminmax[2], ymin = xyminmax$yminmax[1], ymax = xyminmax$yminmax[2])
- """ % (self.pathout['AFC2DCL_OUT'])
+ """ % (ffr(self.pathout['AFC2DCL_OUT']))
txt += """
save.image(file="%s")
- """ % self.pathout['RData']
+ """ % ffr(self.pathout['RData'])
tmpfile = tempfile.mktemp(dir=self.parent.TEMPDIR)
tmpscript = open(tmpfile, 'w')
tmpscript.write(txt)