fileout.write(txt)
fileout.close()
-def AlcesteTxtProf(DictChdTxtOut, RscriptsPath, clnb, taillecar):
+def ReinertTxtProf(DictChdTxtOut, RscriptsPath, clnb, taillecar):
txt = "clnb<-%i\n" % clnb
txt += """
source("%s")
if self.parametres['seuil_ok'] : seuil = str(self.parametres['seuil'])
else : seuil = 'NULL'
-
+
+ if not self.parametres.get('edgecurved', False) :
+ ec = 'FALSE'
+ else :
+ ec = 'TRUE'
+
+ txt += """
+ edge.curved <- %s
+ """ % ec
+
cols = str(self.parametres['cols']).replace(')',', max=255)')
cola = str(self.parametres['cola']).replace(')',',max=255)')
vertex.label.color <- colm[membership(com)]
}
}
- coords <- plot.simi(graph.simi, p.type='%s',filename="%s", vertex.label = label.v, edge.label = label.e, vertex.col = vertex.col, vertex.label.color = vertex.label.color, vertex.label.cex=label.cex, vertex.size = vertex.size, edge.col = cola, leg=leg, width = width, height = height, alpha = alpha, movie = film, svg = svg)
+ coords <- plot.simi(graph.simi, p.type='%s',filename="%s", vertex.label = label.v, edge.label = label.e, vertex.col = vertex.col, vertex.label.color = vertex.label.color, vertex.label.cex=label.cex, vertex.size = vertex.size, edge.col = cola, leg=leg, width = width, height = height, alpha = alpha, movie = film, edge.curved = edge.curved, svg = svg)
save.image(file="%s")
""" % (type, self.filename, ffr(self.pathout['RData']))
open_file_graph("%s",height=800, width=1000)
prototypical(mat, mfreq = %s, mrank = %s, cloud = FALSE, cexrange=c(1,2.4), cexalpha= c(0.4, 1), type = '%s')
dev.off()
- """ % (self.analyse.pathout['table.csv'], self.analyse.pathout['proto.png'], self.parametres['limfreq'], self.parametres['limrang'], self.parametres['typegraph'])
+ """ % (ffr(self.analyse.pathout['table.csv']), ffr(self.analyse.pathout['proto.png']), self.parametres['limfreq'], self.parametres['limrang'], self.parametres['typegraph'])
self.add(txt)
self.write()
""" % ffr(self.pathout['tgenspec.csv'])
self.add(txt)
+class TgenProfScript(PrintRScript):
+ def make_script(self):
+ self.sources([self.analyse.ira.RscriptsPath['chdfunct']])
+ txt = """
+ tgen <- read.csv2("%s", row.names = 1, sep = '\\t')
+ """ % ffr(self.parametres['tgeneff'])
+ txt += """
+ res <- build.prof.tgen(tgen)
+ write.table(res$chi2, file = "%s", sep='\\t', col.names = NA)
+ write.table(res$pchi2, file = "%s", sep='\\t', col.names = NA)
+ """ % (ffr(self.pathout['tgenchi2.csv']), ffr(self.pathout['tgenpchi2.csv']))
+ self.add(txt)
+
class FreqMultiScript(PrintRScript):
def make_script(self):
self.sources([self.analyse.parent.RscriptsPath['Rgraph']])