data2 <- as(data2, "dgCMatrix")
row.names(data2) <- 1:nrow(data2)
""" % DicoPath['TableUc2']
+ #log.info('ATTENTION ############# MODEPATATE ####################')
txt += """
- chd1<-CHD(data1, x = nbt, libsvdc = libsvdc, libsvdc.path = libsvdc.path)
+ chd1<-CHD(data1, x = nbt, mode.patate = FALSE, libsvdc = libsvdc, libsvdc.path = libsvdc.path)
"""
if classif_mode == 0:
save(tree.cut1, file="%s")
classes<-n1[,ncol(n1)]
open_file_graph("%s", width = 600, height=400)
- plot.dendropr(tree.cut1$tree.cl,classes)
+ plot.dendropr(tree.cut1$tree.cl,classes, histo=TRUE)
open_file_graph("%s", width = 600, height=400)
plot(tree.cut1$dendro_tot_cl)
dev.off()
""" % (DictChdTxtOut['afc_facteur'], DictChdTxtOut['afc_col'], DictChdTxtOut['afc_row'])
txt += """
- xlab <- paste('facteur 1 - ', round(afc$facteur[1,2],2), sep = '')
- ylab <- paste('facteur 2 - ', round(afc$facteur[2,2],2), sep = '')
- xlab <- paste(xlab, ' %', sep = '')
- ylab <- paste(ylab, ' %', sep = '')
+ #xlab <- paste('facteur 1 - ', round(afc$facteur[1,2],2), sep = '')
+ #ylab <- paste('facteur 2 - ', round(afc$facteur[2,2],2), sep = '')
+ #xlab <- paste(xlab, ' %', sep = '')
+ #ylab <- paste(ylab, ' %', sep = '')
"""
txt += """
PARCEX<-%s
+ xmin <- min(afc$rowcoord[,1], na.rm = TRUE) + (0.1 * min(afc$rowcoord[,1], na.rm = TRUE))
+ xmax <- max(afc$rowcoord[,1], na.rm = TRUE) + (0.1 * max(afc$rowcoord[,1], na.rm = TRUE))
+ ymin <- min(afc$rowcoord[,2], na.rm = TRUE) + (0.1 * min(afc$rowcoord[,2], na.rm = TRUE))
+ ymax <- max(afc$rowcoord[,2], na.rm = TRUE) + (0.1 * max(afc$rowcoord[,2], na.rm = TRUE))
""" % taillecar
txt += """
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=1, fin=(debsup-1), xlab = xlab, ylab = ylab)
+ PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=1, fin=(debsup-1), xlab = xlab, ylab = ylab, xmin=xmin, xmax=xmax, ymin = ymin, ymax=ymax)
""" % (DictChdTxtOut['AFC2DL_OUT'])
txt += """
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=debsup, fin=(debet-1), xlab = xlab, ylab = ylab)
+ PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=debsup, fin=(debet-1), xlab = xlab, ylab = ylab, xmin=xmin, xmax=xmax, ymin = ymin, ymax=ymax)
""" % (DictChdTxtOut['AFC2DSL_OUT'])
txt += """
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=debet, fin=fin, xlab = xlab, ylab = ylab)
+ PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='coord', deb=debet, fin=fin, xlab = xlab, ylab = ylab, xmin=xmin, xmax=xmax, ymin = ymin, ymax=ymax)
""" % (DictChdTxtOut['AFC2DEL_OUT'])
txt += """
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", col=TRUE, what='coord', xlab = xlab, ylab = ylab)
+ PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", col=TRUE, what='coord', xlab = xlab, ylab = ylab, xmin=xmin, xmax=xmax, ymin = ymin, ymax=ymax)
""" % (DictChdTxtOut['AFC2DCL_OUT'])
- txt += """
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=1, fin=(debsup-1), xlab = xlab, ylab = ylab)
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=debsup, fin=(debet-1), xlab = xlab, ylab = ylab)
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=debet, fin=fin, xlab = xlab, ylab = ylab)
- PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", col=TRUE, what='crl', xlab = xlab, ylab = ylab)
- """ % (DictChdTxtOut['AFC2DCoul'], DictChdTxtOut['AFC2DCoulSup'], DictChdTxtOut['AFC2DCoulEt'], DictChdTxtOut['AFC2DCoulCl'])
+# txt += """
+ # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=1, fin=(debsup-1), xlab = xlab, ylab = ylab)
+ # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=debsup, fin=(debet-1), xlab = xlab, ylab = ylab)
+ # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", what='crl', deb=debet, fin=fin, xlab = xlab, ylab = ylab)
+ # PlotAfc2dCoul(afc, as.data.frame(chistabletot), "%s", col=TRUE, what='crl', xlab = xlab, ylab = ylab)
+ # """ % (DictChdTxtOut['AFC2DCoul'], DictChdTxtOut['AFC2DCoulSup'], DictChdTxtOut['AFC2DCoulEt'], DictChdTxtOut['AFC2DCoulCl'])
txt += """
#rm(dataact)
if self.param['do_select_chi'] : do_select_chi = 'TRUE'
else : do_select_chi = 'FALSE'
+ if self.param['do_select_chi_classe'] : do_select_chi_classe = 'TRUE'
+ else : do_select_chi_classe = 'FALSE'
+
if self.param['cex_txt'] : cex_txt = 'TRUE'
else : cex_txt = 'FALSE'
self.param['select_nb'], \
do_select_chi, \
self.param['select_chi'], \
+ do_select_chi_classe, \
+ self.param['nbchic'], \
cex_txt, \
self.param['txt_min'], \
self.param['txt_max'], \
movie = "'" + ffr(os.path.dirname(self.DictPathOut['RData'])) + "'"
else :
movie = 'NULL'
- if self.section == 'chd_dist_quest' :
- header = 'TRUE'
- else :
- header = 'FALSE'
+
+ #if self.corpus.parametres['type'] == 'corpus' :
+ # header = 'TRUE'
+ #else :
+ # header = 'FALSE'
+ header = 'FALSE'
txt += """
dm<-read.csv2("%s",row.names=1,header = %s)
load("%s")
self.txtgraph = ''
self.packages(['igraph', 'proxy', 'Matrix'])
self.sources([self.analyse.parent.RscriptsPath['simi'], self.analyse.parent.RscriptsPath['Rgraph']])
- txt = """
- dm.path <- "%s"
- cn.path <- "%s"
- selected.col <- "%s"
- """ % (self.pathout['mat01.csv'], self.pathout['actives.csv'], self.pathout['selected.csv'])
- txt += """
- dm <-readMM(dm.path)
- cn <- read.table(cn.path, sep=';', quote='"')
- colnames(dm) <- cn[,1]
- sel.col <- read.csv2(selected.col)
- dm <- dm[, sel.col[,1] + 1]
- """
-
- if self.parametres['coeff'] == 0 :
- method = 'cooc'
+ txt = ''
+ if not self.parametres['keep_coord'] :
+ txt += """
+ dm.path <- "%s"
+ cn.path <- "%s"
+ selected.col <- "%s"
+ """ % (self.pathout['mat01.csv'], self.pathout['actives.csv'], self.pathout['selected.csv'])
txt += """
- method <- 'cooc'
- mat <- make.a(dm)
+ dm <-readMM(dm.path)
+ cn <- read.table(cn.path, sep=';', quote='"')
+ colnames(dm) <- cn[,1]
+ sel.col <- read.csv2(selected.col)
+ dm <- dm[, sel.col[,1] + 1]
"""
else :
txt += """
- dm <- as.matrix(dm)
- """
+ load("%s")
+ """ % self.pathout['RData.RData']
+
+ if self.parametres['coeff'] == 0 :
+ method = 'cooc'
+ if not self.parametres['keep_coord'] :
+ txt += """
+ method <- 'cooc'
+ mat <- make.a(dm)
+ """
+ else :
+ if not self.parametres['keep_coord'] :
+ txt += """
+ dm <- as.matrix(dm)
+ """
if self.parametres['coeff'] == 1 :
method = 'prcooc'
txt += """
"""
elif self.analyse.indices[self.parametres['coeff']] == 'binomial' :
method = 'binomial'
- txt += """
- method <- 'binomial'
- mat <- binom.sim(dm)
- """
+ if not self.parametres['keep_coord'] :
+ txt += """
+ method <- 'binomial'
+ mat <- binom.sim(dm)
+ """
elif self.parametres['coeff'] != 0 :
method = self.analyse.indices[self.parametres['coeff']]
+ if not self.parametres['keep_coord'] :
+ txt += """
+ method <-"%s"
+ mat <- simil(dm, method = method, diag = TRUE, upper = TRUE, by_rows = FALSE)
+ """ % self.analyse.indices[self.parametres['coeff']]
+ if not self.parametres['keep_coord'] :
txt += """
- method <-"%s"
- mat <- simil(dm, method = method, diag = TRUE, upper = TRUE, by_rows = FALSE)
- """ % self.analyse.indices[self.parametres['coeff']]
- txt += """
- mat <- as.matrix(stats::as.dist(mat,diag=TRUE,upper=TRUE))
- mat[is.na(mat)] <- 0
- mat[is.infinite(mat)] <- 0
- """
+ mat <- as.matrix(stats::as.dist(mat,diag=TRUE,upper=TRUE))
+ mat[is.na(mat)] <- 0
+ mat[is.infinite(mat)] <- 0
+ """
if self.parametres['layout'] == 0 : layout = 'random'
if self.parametres['layout'] == 1 : layout = 'circle'
if self.parametres['layout'] == 2 : layout = 'frutch'
if self.parametres['layout'] == 3 : layout = 'kawa'
if self.parametres['layout'] == 4 : layout = 'graphopt'
+
self.filename=''
if self.parametres['type_graph'] == 0 : type = 'tkplot'
if self.parametres['type_graph'] == 1 :
txt += """
et <- list()
"""
- for i,et in enumerate(self.tableau.etline) :
+ for i, line in enumerate(self.parametres['listet']) :
txt+= """
et[[%i]] <- c(%s)
- """ % (i+1, ','.join(et[1:]))
+ """ % (i+1, ','.join([`val + 1` for val in line]))
txt+= """
unetoile <- c('%s')
- """ % ("','".join([val[0] for val in self.tableau.etline]))
+ """ % ("','".join([val for val in self.parametres['selectedstars']]))
txt += """
fsum <- NULL
rs <- rowSums(dm)
cols <- vertex.label.color
chivertex.size <- norm.vec(toblack, vcexminmax[1], vcexminmax[2])
- """ % (self.parent.RscriptsPath['chdfunct'])
+ """ % (self.analyse.parent.RscriptsPath['chdfunct'])
else :
txt += """
vertex.label.color <- 'black'
projects / iramuteq / blobdiff