1 # -*- coding: utf-8 -*-
2 #Author: Pierre Ratinaud
3 #Copyright (c) 2008-2011 Pierre Ratinaud
7 from chemins import ffr
10 from datetime import datetime
13 log = logging.getLogger('iramuteq.printRscript')
16 def __init__ (self, analyse):
18 self.pathout = analyse.pathout
19 self.analyse = analyse
20 self.parametres = analyse.parametres
21 self.scriptout = self.pathout['temp']
22 self.script = u"#Script genere par IRaMuTeQ - %s\n" % datetime.now().ctime()
25 self.script = '\n'.join([self.script, txt])
27 def defvar(self, name, value) :
28 self.add(' <- '.join([name, value]))
30 def defvars(self, lvars) :
32 self.defvar(val[0],val[1])
34 def sources(self, lsources) :
35 for source in lsources :
36 self.add('source("%s")' % source)
38 def packages(self, lpks) :
40 self.add('library(%s)' % pk)
44 self.add('load("%s")' % val)
47 with open(self.scriptout, 'w') as f :
51 class chdtxt(PrintRScript) :
55 return str(color).replace(')', ', max=255)')
57 class Alceste2(PrintRScript) :
59 self.sources(['chdfunct'])
61 lvars = [['clnb', `self.analyse.clnb`],
62 ['Contout', '"%s"' % self.pathout['Contout']],
63 ['ContSupOut', '"%s"' % self.pathout['ContSupOut']],
64 ['ContEtOut', '"%s"' % self.pathout['ContEtOut']],
65 ['profileout', '"%s"' % self.pathout['profils.csv']],
66 ['antiout', '"%s"' % self.pathout['antiprofils.csv']],
67 ['chisqtable', '"%s"' % self.pathout['chisqtable.csv']],
68 ['ptable', '"%s"' % self.pathout['ptable.csv']]]
74 # txt = "clnb<-%i\n" % clnb
78 #""" % (RscriptsPath['chdfunct'], DictChdTxtOut['RData'])
80 #dataact<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
81 #datasup<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
82 #dataet<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
83 #""" % (DictChdTxtOut['Contout'], DictChdTxtOut['ContSupOut'], DictChdTxtOut['ContEtOut'])
85 #tablesqrpact<-BuildProf(as.matrix(dataact),n1,clnb)
86 #tablesqrpsup<-BuildProf(as.matrix(datasup),n1,clnb)
87 #tablesqrpet<-BuildProf(as.matrix(dataet),n1,clnb)
90 #PrintProfile(n1,tablesqrpact[4],tablesqrpet[4],tablesqrpact[5],tablesqrpet[5],clnb,"%s","%s",tablesqrpsup[4],tablesqrpsup[5])
91 #""" % (DictChdTxtOut['PROFILE_OUT'], DictChdTxtOut['ANTIPRO_OUT'])
93 #colnames(tablesqrpact[[2]])<-paste('classe',1:clnb,sep=' ')
94 #colnames(tablesqrpact[[1]])<-paste('classe',1:clnb,sep=' ')
95 #colnames(tablesqrpsup[[2]])<-paste('classe',1:clnb,sep=' ')
96 #colnames(tablesqrpsup[[1]])<-paste('classe',1:clnb,sep=' ')
97 #colnames(tablesqrpet[[2]])<-paste('classe',1:clnb,sep=' ')
98 #colnames(tablesqrpet[[1]])<-paste('classe',1:clnb,sep=' ')
99 #chistabletot<-rbind(tablesqrpact[2][[1]],tablesqrpsup[2][[1]])
100 #chistabletot<-rbind(chistabletot,tablesqrpet[2][[1]])
101 #ptabletot<-rbind(tablesqrpact[1][[1]],tablesqrpet[1][[1]])
104 #write.csv2(chistabletot,file="%s")
105 #write.csv2(ptabletot,file="%s")
107 #write.csv2(gbcluster,file="%s")
108 #""" % (DictChdTxtOut['chisqtable'], DictChdTxtOut['ptable'], DictChdTxtOut['SbyClasseOut'])
112 def RchdTxt(DicoPath, RscriptPath, mincl, classif_mode, nbt = 9, svdmethod = 'svdR', libsvdc = False, libsvdc_path = None, R_max_mem = False, mode_patate = False):
118 """ % (RscriptPath['CHD'], RscriptPath['chdtxt'], RscriptPath['anacor'], RscriptPath['Rgraph'])
127 if svdmethod == 'svdlibc' and libsvdc :
129 svd.method <- 'svdlibc'
131 """ % ffr(libsvdc_path)
132 elif svdmethod == 'irlba' :
135 svd.method <- 'irlba'
153 data1 <- readMM("%s")
154 data1 <- as(data1, "dgCMatrix")
155 row.names(data1) <- 1:nrow(data1)
156 """ % DicoPath['TableUc1']
158 if classif_mode == 0:
160 data2 <- readMM("%s")
161 data2 <- as(data2, "dgCMatrix")
162 row.names(data2) <- 1:nrow(data2)
163 """ % DicoPath['TableUc2']
165 chd1<-CHD(data1, x = nbt, mode.patate = mode.patate, svd.method = svd.method, libsvdc.path = libsvdc.path)
168 if classif_mode == 0:
170 chd2<-CHD(data2, x = nbt, mode.patate = mode.patate, svd.method = svd.method, libsvdc.path = libsvdc.path)
179 listuce1<-read.csv2("%s")
180 """ % DicoPath['listeuce1']
182 if classif_mode == 0:
184 listuce2<-read.csv2("%s")
185 """ % DicoPath['listeuce2']
191 if classif_mode == 0:
199 if (classif_mode == 0) {
200 chd.result <- Rchdtxt(uceout, chd1, chd2 = chd2, mincl = mincl,classif_mode = classif_mode, nbt = nbt)
202 chd.result <- Rchdtxt(uceout, chd1, chd2 = chd1, mincl = mincl,classif_mode = classif_mode, nbt = nbt)
205 classeuce1 <- chd.result$cuce1
206 classeuce2 <- chd.result$cuce2
207 """ % (classif_mode, mincl, DicoPath['uce'])
210 tree.tot1 <- make_tree_tot(chd1)
211 # open_file_graph("%s", widt = 600, height=400)
212 # plot(tree.tot1$tree.cl)
214 """%DicoPath['arbre1']
216 if classif_mode == 0:
218 tree.tot2 <- make_tree_tot(chd2)
219 # open_file_graph("%s", width = 600, height=400)
220 # plot(tree.tot2$tree.cl)
222 """ % DicoPath['arbre2']
225 tree.cut1 <- make_dendro_cut_tuple(tree.tot1$dendro_tuple, chd.result$coord_ok, classeuce1, 1, nbt)
226 save(tree.cut1, file="%s")
227 classes<-n1[,ncol(n1)]
228 open_file_graph("%s", width = 600, height=400)
229 plot.dendropr(tree.cut1$tree.cl,classes, histo=TRUE)
230 open_file_graph("%s", width = 600, height=400)
231 plot(tree.cut1$dendro_tot_cl)
233 """ % (DicoPath['Rdendro'], DicoPath['dendro1'], DicoPath['arbre1'])
235 if classif_mode == 0:
237 tree.cut2 <- make_dendro_cut_tuple(tree.tot2$dendro_tuple, chd.result$coord_ok, classeuce2, 2, nbt)
238 open_file_graph("%s", width = 600, height=400)
239 plot(tree.cut2$tree.cl)
241 open_file_graph("%s", width = 600, height=400)
242 plot(tree.cut1$dendro_tot_cl)
244 """ % (DicoPath['dendro2'], DicoPath['arbre2'])
247 save.image(file="%s")
248 """ % DicoPath['RData']
249 fileout = open(DicoPath['Rchdtxt'], 'w')
253 def RPamTxt(corpus, RscriptPath):
254 DicoPath = corpus.pathout
255 param = corpus.parametres
259 """ % (RscriptPath['pamtxt'])
262 """ % (RscriptPath['Rgraph'])
264 result <- pamtxt("%s", "%s", "%s", method = "%s", clust_type = "%s", clnb = %i)
266 """ % (DicoPath['TableUc1'], DicoPath['listeuce1'], DicoPath['uce'], param['method'], param['cluster_type'], param['nbcl'] )
268 open_file_graph("%s", width=400, height=400)
271 """ % (DicoPath['arbre1'])
273 save.image(file="%s")
274 """ % DicoPath['RData']
275 fileout = open(DicoPath['Rchdtxt'], 'w')
280 def RchdQuest(DicoPath, RscriptPath, nbcl = 10, mincl = 10):
286 """ % (RscriptPath['CHD'], RscriptPath['chdquest'], RscriptPath['anacor'],RscriptPath['Rgraph'])
294 chd.result<-Rchdquest("%s","%s","%s", nbt = nbt, mincl = mincl)
296 classeuce1 <- chd.result$cuce1
297 """ % (DicoPath['mat01'], DicoPath['listeuce1'], DicoPath['uce'])
300 tree_tot1 <- make_tree_tot(chd.result$chd)
301 open_file_graph("%s", width = 600, height=400)
302 plot(tree_tot1$tree.cl)
304 """%DicoPath['arbre1']
307 tree_cut1 <- make_dendro_cut_tuple(tree_tot1$dendro_tuple, chd.result$coord_ok, classeuce1, 1, nbt)
308 tree.cut1 <- tree_cut1
309 save(tree.cut1, file="%s")
310 open_file_graph("%s", width = 600, height=400)
311 classes<-n1[,ncol(n1)]
312 plot.dendropr(tree_cut1$tree.cl,classes, histo = TRUE)
313 """ % (DicoPath['Rdendro'],DicoPath['dendro1'])
316 save.image(file="%s")
317 """ % DicoPath['RData']
318 fileout = open(DicoPath['Rchdquest'], 'w')
322 def AlcesteTxtProf(DictChdTxtOut, RscriptsPath, clnb, taillecar):
323 txt = "clnb<-%i\n" % clnb
327 """ % (RscriptsPath['chdfunct'], DictChdTxtOut['RData'])
329 dataact<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
330 datasup<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
331 dataet<-read.csv2("%s", header = FALSE, sep = ';',quote = '\"', row.names = 1, na.strings = 'NA')
332 """ % (DictChdTxtOut['Contout'], DictChdTxtOut['ContSupOut'], DictChdTxtOut['ContEtOut'])
334 tablesqrpact<-BuildProf(as.matrix(dataact),n1,clnb)
335 tablesqrpsup<-BuildProf(as.matrix(datasup),n1,clnb)
336 tablesqrpet<-BuildProf(as.matrix(dataet),n1,clnb)
339 PrintProfile(n1,tablesqrpact[4],tablesqrpet[4],tablesqrpact[5],tablesqrpet[5],clnb,"%s","%s",tablesqrpsup[4],tablesqrpsup[5])
340 """ % (DictChdTxtOut['PROFILE_OUT'], DictChdTxtOut['ANTIPRO_OUT'])
342 colnames(tablesqrpact[[2]])<-paste('classe',1:clnb,sep=' ')
343 colnames(tablesqrpact[[1]])<-paste('classe',1:clnb,sep=' ')
344 colnames(tablesqrpsup[[2]])<-paste('classe',1:clnb,sep=' ')
345 colnames(tablesqrpsup[[1]])<-paste('classe',1:clnb,sep=' ')
346 colnames(tablesqrpet[[2]])<-paste('classe',1:clnb,sep=' ')
347 colnames(tablesqrpet[[1]])<-paste('classe',1:clnb,sep=' ')
348 chistabletot<-rbind(tablesqrpact[2][[1]],tablesqrpsup[2][[1]])
349 chistabletot<-rbind(chistabletot,tablesqrpet[2][[1]])
350 ptabletot<-rbind(tablesqrpact[1][[1]],tablesqrpet[1][[1]])
353 write.csv2(chistabletot,file="%s")
354 write.csv2(ptabletot,file="%s")
356 write.csv2(gbcluster,file="%s")
357 """ % (DictChdTxtOut['chisqtable'], DictChdTxtOut['ptable'], DictChdTxtOut['SbyClasseOut'])
361 colnames(dataact)<-paste('classe',1:clnb,sep=' ')
362 colnames(datasup)<-paste('classe',1:clnb,sep=' ')
363 colnames(dataet)<-paste('classe',1:clnb,sep=' ')
364 rowtot<-nrow(dataact)+nrow(dataet)+nrow(datasup)
365 afctable<-rbind(as.matrix(dataact),as.matrix(datasup))
366 afctable<-rbind(afctable,as.matrix(dataet))
367 colnames(afctable)<-paste('classe',1:clnb,sep=' ')
368 afc<-ca(afctable,suprow=((nrow(dataact)+1):rowtot),nd=(ncol(afctable)-1))
369 debsup<-nrow(dataact)+1
370 debet<-nrow(dataact)+nrow(datasup)+1
372 afc<-AddCorrelationOk(afc)
374 #FIXME : split this!!!
377 """ % RscriptsPath['Rgraph']
380 afc <- summary.ca.dm(afc)
381 afc_table <- create_afc_table(afc)
382 write.csv2(afc_table$facteur, file = "%s")
383 write.csv2(afc_table$colonne, file = "%s")
384 write.csv2(afc_table$ligne, file = "%s")
385 """ % (DictChdTxtOut['afc_facteur'], DictChdTxtOut['afc_col'], DictChdTxtOut['afc_row'])
391 xyminmax <- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=1, fin=(debsup-1), xlab = xlab, ylab = ylab)
392 """ % (DictChdTxtOut['AFC2DL_OUT'])
394 PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=debsup, fin=(debet-1), xlab = xlab, ylab = ylab, xmin = xyminmax$xminmax[1], xmax = xyminmax$xminmax[2], ymin = xyminmax$yminmax[1], ymax = xyminmax$yminmax[2])
395 """ % (DictChdTxtOut['AFC2DSL_OUT'])
397 PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=debet, fin=fin, xlab = xlab, ylab = ylab, xmin = xyminmax$xminmax[1], xmax = xyminmax$xminmax[2], ymin = xyminmax$yminmax[1], ymax = xyminmax$yminmax[2])
398 """ % (DictChdTxtOut['AFC2DEL_OUT'])
400 PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", col=TRUE, what='coord', xlab = xlab, ylab = ylab, xmin = xyminmax$xminmax[1], xmax = xyminmax$xminmax[2], ymin = xyminmax$yminmax[1], ymax = xyminmax$yminmax[2])
401 """ % (DictChdTxtOut['AFC2DCL_OUT'])
403 # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=1, fin=(debsup-1), xlab = xlab, ylab = ylab)
404 # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=debsup, fin=(debet-1), xlab = xlab, ylab = ylab)
405 # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=debet, fin=fin, xlab = xlab, ylab = ylab)
406 # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", col=TRUE, what='crl', xlab = xlab, ylab = ylab)
407 # """ % (DictChdTxtOut['AFC2DCoul'], DictChdTxtOut['AFC2DCoulSup'], DictChdTxtOut['AFC2DCoulEt'], DictChdTxtOut['AFC2DCoulCl'])
416 save.image(file="%s")
417 """ % DictChdTxtOut['RData']
418 file = open(DictChdTxtOut['RTxtProfGraph'], 'w')
423 def write_afc_graph(self):
424 if self.param['over'] : over = 'TRUE'
425 else : over = 'FALSE'
427 if self.param['do_select_nb'] : do_select_nb = 'TRUE'
428 else : do_select_nb = 'FALSE'
430 if self.param['do_select_chi'] : do_select_chi = 'TRUE'
431 else : do_select_chi = 'FALSE'
433 if self.param['do_select_chi_classe'] : do_select_chi_classe = 'TRUE'
434 else : do_select_chi_classe = 'FALSE'
436 if self.param['cex_txt'] : cex_txt = 'TRUE'
437 else : cex_txt = 'FALSE'
439 if self.param['tchi'] : tchi = 'TRUE'
440 else : tchi = 'FALSE'
442 if self.param['svg'] : svg = 'TRUE'
445 with open(self.RscriptsPath['afc_graph'], 'r') as f:
448 # self.DictPathOut['RData'], \
449 scripts = txt % (self.RscriptsPath['Rgraph'],\
450 self.param['typegraph'], \
451 self.param['what'], \
452 self.param['facteur'][0],\
453 self.param['facteur'][1], \
454 self.param['facteur'][2], \
456 over, do_select_nb, \
457 self.param['select_nb'], \
459 self.param['select_chi'], \
460 do_select_chi_classe, \
461 self.param['nbchic'], \
463 self.param['txt_min'], \
464 self.param['txt_max'], \
466 self.param['width'], \
467 self.param['height'],\
468 self.param['taillecar'], \
469 self.param['alpha'], \
470 self.param['film'], \
472 self.param['tchi_min'],\
473 self.param['tchi_max'],\
474 ffr(os.path.dirname(self.fileout)),\
478 def print_simi3d(self):
479 simi3d = self.parent.simi3dpanel
480 txt = '#Fichier genere par Iramuteq'
481 if simi3d.movie.GetValue() :
482 movie = "'" + ffr(os.path.dirname(self.DictPathOut['RData'])) + "'"
486 #if self.corpus.parametres['type'] == 'corpus' :
492 dm<-read.csv2("%s",row.names=1,header = %s)
494 """ % (self.DictPathOut['Contout'], header, self.DictPathOut['RData'])
498 """ % self.parent.RscriptsPath['Rgraph']
502 make.simi.afc(dm,chistabletot, lim=%i, alpha = %.2f, movie = %s)
503 """ % (simi3d.spin_1.GetValue(), float(simi3d.slider_1.GetValue())/100, movie)
504 tmpfile = tempfile.mktemp(dir=self.parent.TEMPDIR)
505 tmp = open(tmpfile,'w')
510 def dendroandbarplot(table, rownames, colnames, rgraph, tmpgraph, intxt = False, dendro=False) :
512 txttable = 'c(' + ','.join([','.join(line) for line in table]) + ')'
513 rownb = len(rownames)
514 rownames = 'c("' + '","'.join(rownames) + '")'
515 colnames = 'c("' + '","'.join(colnames) + '")'
519 di <- matrix(data=%s, nrow=%i, byrow = TRUE)
522 """ % (txttable, rownb, rownames, colnames)
529 height <- (30*ncol(di)) + (15*nrow(di))
530 height <- ifelse(height <= 400, 400, height)
532 open_file_graph("%s", width=width, height=height)
533 plot.dendro.lex(tree.cut1$tree.cl, di)
534 """ % (ffr(dendro),ffr(rgraph), ffr(tmpgraph))
537 def barplot(table, rownames, colnames, rgraph, tmpgraph, intxt = False) :
539 txttable = 'c(' + ','.join([','.join(line) for line in table]) + ')'
540 #width = 100 + (15 * len(rownames)) + (100 * len(colnames))
541 #height = len(rownames) * 15
542 rownb = len(rownames)
545 rownames = 'c("' + '","'.join(rownames) + '")'
546 colnames = 'c("' + '","'.join(colnames) + '")'
550 di <- matrix(data=%s, nrow=%i, byrow = TRUE)
551 toinf <- which(di == Inf)
552 tominf <- which(di == -Inf)
555 valmax <- max(di, na.rm = TRUE)
563 if (length(tominf)) {
565 valmin <- min(di, na.rm = TRUE)
575 """ % (txttable, rownb, rownames, colnames)
580 color = rainbow(nrow(di))
581 width <- 100 + (20*length(rownames(di))) + (100 * length(colnames(di)))
582 height <- nrow(di) * 15
583 if (height < 400) { height <- 400}
584 open_file_graph("%s",width = width, height = height)
586 layout(matrix(c(1,2),1,2, byrow=TRUE),widths=c(3,lcm(7)))
588 yp = ifelse(length(toinf), 0.2, 0)
589 ym = ifelse(length(tominf), 0.2, 0)
590 ymin <- ifelse(!length(which(di < 0)), 0, min(di) - ym)
591 coord <- barplot(as.matrix(di), beside = TRUE, col = color, space = c(0.1,0.6), ylim=c(ymin, max(di) + yp))
593 coordinf <- coord[toinf]
595 text(x=coordinf, y=valinf + 0.1, 'i')
597 if (length(tominf)) {
598 coordinf <- coord[toinf]
600 text(x=coordinf, y=valinf - 0.1, 'i')
606 lcoord <- apply(cc, 1, mean)
609 amp <- abs(max(di) - min(di))
616 d <- signif(amp%%/%%10,1)
621 if ((i/d) == (i%%/%%d)) {
626 plot(0, axes = FALSE, pch = '')
627 legend(x = 'center' , rownames(di), fill = color)
629 """ % (rgraph, ffr(tmpgraph))
632 #def RAfcUci(DictAfcUciOut, nd=2, RscriptsPath='', PARCEX='0.8'):
638 # dataact<-read.csv2("%s")
639 # """ % (DictAfcUciOut['TableCont'])#, encoding)
641 # datasup<-read.csv2("%s")
642 # """ % (DictAfcUciOut['TableSup'])#, encoding)
644 # dataet<-read.csv2("%s")
645 # """ % (DictAfcUciOut['TableEt'])#, encoding)
647 # datatotsup<-cbind(dataact,datasup)
648 # datatotet<-cbind(dataact,dataet)
649 # afcact<-ca(dataact,nd=nd)
650 # afcsup<-ca(datatotsup,supcol=((ncol(dataact)+1):ncol(datatotsup)),nd=nd)
651 # afcet<-ca(datatotet,supcol=((ncol(dataact)+1):ncol(datatotet)),nd=nd)
652 # afctot<-afcsup$colcoord
653 # rownames(afctot)<-afcsup$colnames
654 # colnames(afctot)<-paste('coord. facteur',1:nd,sep=' ')
655 # afctot<-cbind(afctot,mass=afcsup$colmass)
656 # afctot<-cbind(afctot,distance=afcsup$coldist)
657 # afctot<-cbind(afctot,intertie=afcsup$colinertia)
658 # rcolet<-afcet$colsup
659 # afctmp<-afcet$colcoord[rcolet,]
660 # rownames(afctmp)<-afcet$colnames[rcolet]
661 # afctmp<-cbind(afctmp,afcet$colmass[rcolet])
662 # afctmp<-cbind(afctmp,afcet$coldist[rcolet])
663 # afctmp<-cbind(afctmp,afcet$colinertia[rcolet])
664 # afctot<-rbind(afctot,afctmp)
665 # write.csv2(afctot,file = "%s")
667 # """ % (DictAfcUciOut['afc_row'], RscriptsPath['Rgraph'])
673 # PlotAfc(afcet,filename="%s",toplot=c%s, PARCEX=PARCEX)
674 # """ % (DictAfcUciOut['AfcColAct'], "('none','active')")
676 # PlotAfc(afcsup,filename="%s",toplot=c%s, PARCEX=PARCEX)
677 # """ % (DictAfcUciOut['AfcColSup'], "('none','passive')")
678 # txt += """PlotAfc(afcet,filename="%s", toplot=c%s, PARCEX=PARCEX)
679 # """ % (DictAfcUciOut['AfcColEt'], "('none','passive')")
681 # PlotAfc(afcet,filename="%s", toplot=c%s, PARCEX=PARCEX)
682 # """ % (DictAfcUciOut['AfcRow'], "('all','none')")
683 # f = open(DictAfcUciOut['Rafcuci'], 'w')
687 class PrintSimiScript(PrintRScript) :
688 def make_script(self) :
690 self.packages(['igraph', 'proxy', 'Matrix'])
691 self.sources([self.analyse.parent.RscriptsPath['simi'], self.analyse.parent.RscriptsPath['Rgraph']])
693 if not self.parametres['keep_coord'] and not self.parametres['type'] == 'simimatrix':
698 """ % (self.pathout['mat01.csv'], self.pathout['actives.csv'], self.pathout['selected.csv'])
699 if 'word' in self.parametres :
703 """ % self.parametres['word']
710 cn <- read.table(cn.path, sep='\t', quote='"')
711 colnames(dm) <- cn[,1]
712 sel.col <- read.csv2(selected.col, header = FALSE)
713 sel.col <- sel.col[,1] + 1
717 forme <- colnames(dm)[index]
718 if (!index %in% sel.col) {
719 sel.col <- append(sel.col, index)
722 index <- which(colnames(dm) == forme)
725 elif not self.parametres['keep_coord'] and self.parametres['type'] == 'simimatrix' :
729 """ % (self.pathout['mat01.csv'], self.pathout['selected.csv'])
730 if 'word' in self.parametres :
734 """ % self.parametres['word']
740 dm <-read.csv2(dm.path)
742 sel.col <- read.csv2(selected.col, header = FALSE)
743 sel.col <- sel.col[,1] + 1
747 forme <- colnames(dm)[index]
748 if (!index %in% sel.col) {
749 sel.col <- append(sel.col, index)
752 index <- which(colnames(dm) == forme)
758 """ % self.pathout['RData.RData']
760 if self.parametres['coeff'] == 0 :
762 if not self.parametres['keep_coord'] :
768 if not self.parametres['keep_coord'] :
772 if self.parametres['coeff'] == 1 :
776 mat <- simil(dm, method = 'Russel', diag = TRUE, upper = TRUE, by_rows = FALSE)
778 elif self.analyse.indices[self.parametres['coeff']] == 'binomial' :
780 if not self.parametres['keep_coord'] :
785 elif self.parametres['coeff'] != 0 :
786 method = self.analyse.indices[self.parametres['coeff']]
787 if not self.parametres['keep_coord'] :
790 mat <- simil(dm, method = method, diag = TRUE, upper = TRUE, by_rows = FALSE)
791 """ % self.analyse.indices[self.parametres['coeff']]
792 if not self.parametres['keep_coord'] :
794 mat <- as.matrix(stats::as.dist(mat,diag=TRUE,upper=TRUE))
796 if (length(which(mat == Inf))) {
797 infp <- which(mat == Inf)
799 maxmat <- max(mat, na.rm = TRUE)
807 if (length(which(mat == -Inf))) {
808 infm <- which(mat == -Inf)
810 minmat <- min(mat, na.rm = TRUE)
819 if 'word' in self.parametres and not self.parametres['keep_coord'] :
821 mat <- graph.word(mat, index)
823 if (length(cs)) mat <- mat[,-which(cs==0)]
825 if (length(rs)) mat <- mat[-which(rs==0),]
826 if (length(cs)) dm <- dm[, -which(cs==0)]
829 if self.parametres['layout'] == 0 : layout = 'random'
830 if self.parametres['layout'] == 1 : layout = 'circle'
831 if self.parametres['layout'] == 2 : layout = 'frutch'
832 if self.parametres['layout'] == 3 : layout = 'kawa'
833 if self.parametres['layout'] == 4 : layout = 'graphopt'
837 if self.parametres['type_graph'] == 0 : type = 'tkplot'
838 if self.parametres['type_graph'] == 1 :
841 dirout = os.path.dirname(self.pathout['mat01'])
842 while os.path.exists(os.path.join(dirout,'graph_simi_'+str(graphnb)+'.png')):
844 self.filename = ffr(os.path.join(dirout,'graph_simi_'+str(graphnb)+'.png'))
845 if self.parametres['type_graph'] == 2 : type = 'rgl'
847 if self.parametres['arbremax'] :
849 self.txtgraph += ' - arbre maximum'
850 else : arbremax = 'FALSE'
852 if self.parametres['coeff_tv'] :
853 coeff_tv = self.parametres['coeff_tv_nb']
854 tvminmax = 'c(NULL,NULL)'
855 elif not self.parametres['coeff_tv'] or self.parametres.get('sformchi', False) :
857 tvminmax = 'c(%i, %i)' %(self.parametres['tvmin'], self.parametres['tvmax'])
858 if self.parametres['coeff_te'] : coeff_te = 'c(%i,%i)' % (self.parametres['coeff_temin'], self.parametres['coeff_temax'])
859 else : coeff_te = 'NULL'
861 if self.parametres['vcex'] or self.parametres.get('cexfromchi', False) :
862 vcexminmax = 'c(%i/10,%i/10)' % (self.parametres['vcexmin'],self.parametres['vcexmax'])
864 vcexminmax = 'c(NULL,NULL)'
865 if not self.parametres['label_v'] : label_v = 'FALSE'
866 else : label_v = 'TRUE'
868 if not self.parametres['label_e'] : label_e = 'FALSE'
869 else : label_e = 'TRUE'
871 if self.parametres['seuil_ok'] : seuil = str(self.parametres['seuil'])
872 else : seuil = 'NULL'
874 cols = str(self.parametres['cols']).replace(')',', max=255)')
875 cola = str(self.parametres['cola']).replace(')',',max=255)')
885 """ % self.parametres['cex']
887 if self.parametres['film'] :
890 """ % self.pathout['film']
902 """ % (label_v, label_e)
910 """ % (self.parametres['width'], self.parametres['height'])
911 if self.parametres['keep_coord'] :
913 coords <- try(coords, TRUE)
914 if (!is.matrix(coords)) {
924 """ % self.parametres['alpha']
927 """ % self.parametres['alpha']
928 #############################################
929 if self.parametres.get('bystar',False) :
933 for i, line in enumerate(self.parametres['listet']) :
936 """ % (i+1, ','.join([`val + 1` for val in line]))
939 """ % ("','".join([val for val in self.parametres['selectedstars']]))
943 for (i in 1:length(unetoile)) {
946 if (length(tosum) > 1) {
947 fsum <- cbind(fsum, colSums(dm[tosum,]))
949 fsum <- cbind(fsum, dm[tosum,])
953 lex <- AsLexico2(fsum, chip=TRUE)
954 dcol <- apply(lex[[4]],1,which.max)
955 toblack <- apply(lex[[4]],1,max)
956 gcol <- rainbow(length(unetoile))
958 vertex.label.color <- gcol[dcol]
959 vertex.label.color[which(toblack <= 3.84)] <- 'black'
960 leg <- list(unetoile=unetoile, gcol=gcol)
961 cols <- vertex.label.color
962 chivertex.size <- norm.vec(toblack, vcexminmax[1], vcexminmax[2])
964 """ % (self.analyse.parent.RscriptsPath['chdfunct'])
967 vertex.label.color <- 'black'
971 #############################################
975 # g.ori <- graph.adjacency(mat, mode='lower', weighted = TRUE)
976 # w.ori <- E(g.ori)$weight
978 # if (method == 'cooc') {
979 # E(g.ori)$weight <- 1 / w.ori
981 # E(g.ori)$weigth <- 1 - w.ori
983 # g.max <- minimum.spanning.tree(g.ori)
984 # if (method == 'cooc') {
985 # E(g.max)$weight <- 1 / E(g.max)$weight
987 # E(g.max)$weight <- 1 - E(g.max)$weight
994 if self.parametres['com'] :
995 com = `self.parametres['communities']`
998 if self.parametres['halo'] :
1008 x <- list(mat = mat, eff = eff)
1009 graph.simi <- do.simi(x, method='%s', seuil = seuil, p.type = '%s', layout.type = '%s', max.tree = %s, coeff.vertex=%s, coeff.edge = %s, minmaxeff = minmaxeff, vcexminmax = vcexminmax, cex = cex, coords = coords, communities = communities, halo = halo)
1010 """ % (method, type, layout, arbremax, coeff_tv, coeff_te)
1012 if self.parametres.get('bystar',False) :
1013 if self.parametres.get('cexfromchi', False) :
1015 label.cex<-chivertex.size
1021 if self.parametres.get('sfromchi', False) :
1023 vertex.size <- norm.vec(toblack, minmaxeff[1], minmaxeff[2])
1030 if self.parametres['type'] == 'clustersimitxt' :
1032 lchi <- read.table("%s")
1034 """ % ffr(self.parametres['tmpchi'])
1036 lchi <- lchi[sel.col]
1038 if self.parametres['type'] == 'clustersimitxt' and self.parametres.get('cexfromchi', False) :
1040 label.cex <- norm.vec(lchi, vcexminmax[1], vcexminmax[2])
1044 if (is.null(vcexminmax[1])) {
1047 label.cex <- graph.simi$label.cex
1050 if self.parametres['type'] == 'clustersimitxt' and self.parametres.get('sfromchi', False) :
1052 vertex.size <- norm.vec(lchi, minmaxeff[1], minmaxeff[2])
1053 if (!length(vertex.size)) vertex.size <- 0
1057 if (is.null(minmaxeff[1])) {
1060 vertex.size <- graph.simi$eff
1063 #txt += """ vertex.size <- NULL """
1064 if self.parametres['svg'] : svg = 'TRUE'
1065 else : svg = 'FALSE'
1071 if (!is.null(graph.simi$com)) {
1072 com <- graph.simi$com
1073 colm <- rainbow(length(com))
1074 if (vertex.size != 0 || graph.simi$halo) {
1075 vertex.label.color <- 'black'
1076 vertex.col <- colm[membership(com)]
1078 vertex.label.color <- colm[membership(com)]
1081 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)
1082 save.image(file="%s")
1083 """ % (type, self.filename, self.pathout['RData'])
1088 class WordCloudRScript(PrintRScript) :
1089 def make_script(self) :
1090 self.sources([self.analyse.parent.RscriptsPath['Rgraph']])
1091 self.packages(['wordcloud'])
1092 bg_col = Rcolor(self.parametres['col_bg'])
1093 txt_col = Rcolor(self.parametres['col_text'])
1095 act <- read.csv2("%s", header = FALSE, row.names=1, sep='\t')
1096 selected.col <- read.table("%s")
1097 toprint <- as.matrix(act[selected.col[,1] + 1,])
1098 rownames(toprint) <- rownames(act)[selected.col[,1] + 1]
1100 if (nrow(toprint) > maxword) {
1101 toprint <- as.matrix(toprint[order(toprint[,1], decreasing=TRUE),])
1102 toprint <- as.matrix(toprint[1:maxword,])
1104 open_file_graph("%s", width = %i, height = %i)
1106 wordcloud(row.names(toprint), toprint[,1], scale=c(%f,%f), random.order=FALSE, colors=rgb%s)
1108 """ % (ffr(self.analyse.pathout['actives_eff.csv']), ffr(self.analyse.pathout['selected.csv']), self.parametres['maxword'], ffr(self.parametres['graphout']), self.parametres['width'], self.parametres['height'], bg_col, self.parametres['maxcex'], self.parametres['mincex'], txt_col)