#Copyright (c) 2008-2011 Pierre Ratinaud
#License: GNU/GPL
-from chemins import ConstructPathOut, StatTxtPathOut, PathOut
+from chemins import ConstructPathOut, StatTxtPathOut, PathOut, ffr
#from corpus import Corpus
from analysetxt import AnalyseText
import wx
txt = """
source("%s")
source("%s")
- """ % (self.parent.RscriptsPath['chdfunct'], self.parent.RscriptsPath['Rgraph'])
+ """ % (ffr(self.parent.RscriptsPath['chdfunct']), ffr(self.parent.RscriptsPath['Rgraph']))
txt += """
dmf<-read.csv2("%s",row.names=1)
- """ % self.dictpathout['tableafcm']
+ """ % ffr(self.dictpathout['tableafcm'])
txt += """
dmt<-read.csv2("%s",row.names=1)
- """ % self.dictpathout['tabletypem']
+ """ % ffr(self.dictpathout['tabletypem'])
txt += """
indice <- "%s"
""" % self.parametres['indice']
banalspec <- specf<-outf[[1]][banal,]
banal <- cbind(banalfreq, banalspec)
write.csv2(banal,file="%s")
- """ % self.pathout['banalites.csv']
+ """ % ffr(self.pathout['banalites.csv'])
txt += """
specf<-outf[[1]]
spect<-outt[[1]]
write.csv2(specf,file="%s")
- """ % self.dictpathout['tablespecf']
+ """ % ffr(self.dictpathout['tablespecf'])
txt += """
write.csv2(spect,file="%s")
- """ % self.dictpathout['tablespect']
+ """ % ffr(self.dictpathout['tablespect'])
txt += """
write.csv2(outf[[3]],file="%s")
- """ % self.dictpathout['eff_relatif_forme']
+ """ % ffr(self.dictpathout['eff_relatif_forme'])
txt += """
write.csv2(outt[[3]],file="%s")
- """ % self.dictpathout['eff_relatif_type']
+ """ % ffr(self.dictpathout['eff_relatif_type'])
if self.parametres['clnb'] > 2 :
txt += """
library(ca)
debsup <- NULL
debet <- NULL
clnb <- ncol(specf)
- """ % (self.dictpathout['afcf_row'], self.dictpathout['afcf_col'], self.dictpathout['afct_row'], self.dictpathout['afct_col'], self.dictpathout['afcf_facteur_csv'], self.dictpathout['afcf_col_csv'], self.dictpathout['afcf_row_csv'], self.dictpathout['afct_facteur_csv'], self.dictpathout['afct_col_csv'], self.dictpathout['afct_row_csv'])
+ """ % (ffr(self.dictpathout['afcf_row']), ffr(self.dictpathout['afcf_col']), ffr(self.dictpathout['afct_row']), ffr(self.dictpathout['afct_col']), ffr(self.dictpathout['afcf_facteur_csv']), ffr(self.dictpathout['afcf_col_csv']), ffr(self.dictpathout['afcf_row_csv']), ffr(self.dictpathout['afct_facteur_csv']), ffr(self.dictpathout['afct_col_csv']), ffr(self.dictpathout['afct_row_csv']))
txt += """
save.image("%s")
- """ % self.dictpathout['RData']
+ """ % ffr(self.dictpathout['RData'])
tmpfile = tempfile.mktemp(dir=self.parent.TEMPDIR)
tmpscript = open(tmpfile, 'w')
tmpscript.write(txt)
else :
ListEt = variables[var[dial.list_box_1.GetSelections()[0]]]
self.listet = ListEt
+ self.listet.sort()
self.parametres['mineff'] = dial.spin.GetValue()
if dial.choice_indice.GetSelection() == 0 :
self.parametres['indice'] = 'hypergeo'
self.doanalyse()
def doanalyse(self):
- self.tgen = TGen(path = self.parametres['tgenpath'])
+ self.tgen = TGen(path = self.parametres['tgenpath'], encoding = self.ira.syscoding)
self.tgen.read(self.tgen.path)
+ self.parametres['etoiles'].sort()
tgenocc, totocc = self.corpus.make_tgen_table(self.tgen, self.parametres['etoiles'])
self.parametres['tgeneff'] = os.path.join(self.parametres['pathout'], 'tgeneff.csv')
self.tgen.writetable(self.parametres['tgeneff'], tgenocc, totocc)