X-Git-Url: http://iramuteq.org/git?p=iramuteq;a=blobdiff_plain;f=PrintRScript.py;h=db2eeac22288e3e7a1c4e0a12cf0c9372293d2fa;hp=4d0fb40fcaad3634a92fd3ad88a1869a9d0234e4;hb=1fb687c23b19ae4cc88146acf393041356c1df3a;hpb=22cd27b2bbe9ab1ffa7ef06fa764b5147ae17dad

diff --git a/PrintRScript.py b/PrintRScript.py
index 4d0fb40..db2eeac 100644
--- a/PrintRScript.py
+++ b/PrintRScript.py
@@ -17,6 +17,7 @@ class PrintRScript :
         log.info('Rscript')
         self.pathout = analyse.pathout
         self.analyse = analyse
+        self.parametres = analyse.parametres
         self.scriptout = self.pathout['temp']
         self.script =  u"#Script genere par IRaMuTeQ - %s" % datetime.now().ctime()
     
@@ -34,6 +35,10 @@ class PrintRScript :
         for source in lsources :
             self.add('source("%s")' % source)
 
+    def packages(self, lpks) :
+        for pk in lpks :
+            self.add('library(%s)' % pk)
+
     def load(self, l) :
         for val in l :
             self.add('load("%s")' % val)
@@ -46,6 +51,8 @@ class PrintRScript :
 class chdtxt(PrintRScript) :
     pass
 
+def Rcolor(color) :
+    return str(color).replace(')', ', max=255)')
 
 class Alceste2(PrintRScript) :
     def doscript(self) :
@@ -141,8 +148,9 @@ def RchdTxt(DicoPath, RscriptPath, mincl, classif_mode, nbt = 9, libsvdc = False
         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:
@@ -165,12 +173,12 @@ def RchdTxt(DicoPath, RscriptPath, mincl, classif_mode, nbt = 9, libsvdc = False
         """ % DicoPath['listeuce2']
         
     txt += """
-#    rm(data1)
+    rm(data1)
     """
     
     if classif_mode == 0:
         txt += """
-#        rm(data2)
+        rm(data2)
         """
     txt += """
     chd.result <- Rchdtxt("%s",mincl=%i,classif_mode=%i, nbt = nbt)
@@ -199,7 +207,7 @@ def RchdTxt(DicoPath, RscriptPath, mincl, classif_mode, nbt = 9, libsvdc = False
     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()
@@ -358,33 +366,41 @@ write.csv2(gbcluster,file="%s")
         """ % (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))
+    print(xmin)
+    print(xmax)
+    print(ymin)
+    print(ymax)
     """ % 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)
@@ -410,12 +426,18 @@ def write_afc_graph(self):
     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'
 
     if self.param['tchi'] : tchi = 'TRUE'
     else : tchi = 'FALSE'
 
+    if self.param['svg'] : svg = 'TRUE'
+    else : svg = 'FALSE'
+
     with open(self.RscriptsPath['afc_graph'], 'r') as f:
         txt = f.read()
 
@@ -431,6 +453,8 @@ def write_afc_graph(self):
     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'], \
@@ -443,7 +467,8 @@ def write_afc_graph(self):
     tchi,\
     self.param['tchi_min'],\
     self.param['tchi_max'],\
-    ffr(os.path.dirname(self.fileout)))
+    ffr(os.path.dirname(self.fileout)),\
+    svg)
     return scripts
         
 def print_simi3d(self):
@@ -453,10 +478,12 @@ def print_simi3d(self):
         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")
@@ -516,9 +543,29 @@ def barplot(table, rownames, colnames, rgraph, tmpgraph, intxt = False) :
     if not intxt :
         #FIXME
         txt = """
-            inf <- NA
             di <- matrix(data=%s, nrow=%i, byrow = TRUE)
-            di[is.na(di)] <- max(di, na.rm=TRUE) + 2
+            toinf <- which(di == Inf)
+            tominf <- which(di == -Inf)
+            if (length(toinf)) {
+                di[toinf] <- NA
+                valmax <- max(di, na.rm = TRUE)
+                if (valmax <= 0) {
+                    valmax <- 2
+                } else {
+                    valmax <- valmax + 2
+                }
+                di[toinf] <- valmax
+            }
+            if (length(tominf)) {
+                di[tominf] <- NA
+                valmin <- min(di, na.rm = TRUE)
+                if (valmin >=0) {
+                    valmin <- -2
+                } else {
+                    valmin <- valmin - 2
+                }
+                di[tominf] <- valmin
+            }
             rownames(di)<- %s
             colnames(di) <- %s
         """ % (txttable, rownb, rownames, colnames)
@@ -534,7 +581,20 @@ def barplot(table, rownames, colnames, rgraph, tmpgraph, intxt = False) :
     	par(mar=c(0,0,0,0))
 	    layout(matrix(c(1,2),1,2, byrow=TRUE),widths=c(3,lcm(7)))
         par(mar=c(2,2,1,0))
-        coord <- barplot(as.matrix(di), beside = TRUE, col = color, space = c(0.1,0.6))
+        yp = ifelse(length(toinf), 0.2, 0)
+        ym = ifelse(length(tominf), 0.2, 0)
+        ymin <- ifelse(!length(which(di < 0)), 0, min(di) - ym)
+        coord <- barplot(as.matrix(di), beside = TRUE, col = color, space = c(0.1,0.6), ylim=c(ymin, max(di) + yp))
+        if (length(toinf)) {
+            coordinf <- coord[toinf]
+            valinf <- di[toinf]
+            text(x=coordinf, y=valinf + 0.1, 'i')
+        }
+        if (length(tominf)) {
+            coordinf <- coord[toinf]
+            valinf <- di[toinf]
+            text(x=coordinf, y=valinf - 0.1, 'i')
+        }            
         c <- colMeans(coord)
         c1 <- c[-1]
         c2 <- c[-length(c)]
@@ -620,3 +680,321 @@ def barplot(table, rownames, colnames, rgraph, tmpgraph, intxt = False) :
 #    f.write(txt)
 #    f.close()
 
+class PrintSimiScript(PrintRScript) :
+    def make_script(self) :
+        self.txtgraph = ''
+        self.packages(['igraph', 'proxy', 'Matrix'])
+        self.sources([self.analyse.parent.RscriptsPath['simi'], self.analyse.parent.RscriptsPath['Rgraph']])
+        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 += """
+            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 += """
+            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 += """
+            method <- 'Russel'
+            mat <- simil(dm, method = 'Russel', diag = TRUE, upper = TRUE, by_rows = FALSE)
+            """
+        elif self.analyse.indices[self.parametres['coeff']] == 'binomial' :
+            method = 'binomial'
+            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 += """
+            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 : 
+            graphnb = 1
+            type = 'nplot'
+            dirout = os.path.dirname(self.pathout['mat01'])
+            while os.path.exists(os.path.join(dirout,'graph_simi_'+str(graphnb)+'.png')):
+                graphnb +=1
+            self.filename = ffr(os.path.join(dirout,'graph_simi_'+str(graphnb)+'.png'))
+        if self.parametres['type_graph'] == 2 : type = 'rgl'
+
+        if self.parametres['arbremax'] : 
+            arbremax = 'TRUE'
+            self.txtgraph += ' - arbre maximum'
+        else : arbremax = 'FALSE'
+        
+        if self.parametres['coeff_tv'] : 
+            coeff_tv = self.parametres['coeff_tv_nb']
+            tvminmax = 'c(NULL,NULL)'
+        elif not self.parametres['coeff_tv'] or self.parametres.get('sformchi', False) :
+            coeff_tv = 'NULL'
+            tvminmax = 'c(%i, %i)' %(self.parametres['tvmin'], self.parametres['tvmax'])
+        if self.parametres['coeff_te'] : coeff_te = 'c(%i,%i)' % (self.parametres['coeff_temin'], self.parametres['coeff_temax'])
+        else : coeff_te = 'NULL'
+        
+        if self.parametres['vcex'] or self.parametres.get('cexfromchi', False) :
+            vcexminmax = 'c(%i/10,%i/10)' % (self.parametres['vcexmin'],self.parametres['vcexmax'])
+        else :
+            vcexminmax = 'c(NULL,NULL)'
+        if not self.parametres['label_v'] : label_v = 'FALSE'
+        else : label_v = 'TRUE'
+
+        if not self.parametres['label_e'] : label_e = 'FALSE'
+        else : label_e = 'TRUE'
+        
+        if self.parametres['seuil_ok'] : seuil = str(self.parametres['seuil'])
+        else : seuil = 'NULL'
+            
+        cols = str(self.parametres['cols']).replace(')',', max=255)')
+        cola = str(self.parametres['cola']).replace(')',',max=255)')
+
+        txt += """
+        minmaxeff <- %s
+        """ % tvminmax
+        txt += """
+        vcexminmax <- %s
+        """ % vcexminmax
+        txt += """
+        cex = %i/10
+        """ % self.parametres['cex']
+
+        if self.parametres['film'] : 
+            txt += """
+            film <- "%s"
+            """ % self.pathout['film']
+        else : 
+            txt += """
+            film <- NULL
+            """
+        txt += """
+        seuil <- %s
+        """ % seuil
+        
+        txt += """
+        label.v <- %s
+        label.e <- %s
+        """ % (label_v, label_e)
+        txt += """
+        cols <- rgb%s
+        cola <- rgb%s
+        """ % (cols, cola)
+        txt += """
+        width <- %i
+        height <- %i
+        """ % (self.parametres['width'], self.parametres['height'])
+        if self.parametres['keep_coord'] :
+            txt += """
+            coords <- try(coords, TRUE)
+            if (!is.matrix(coords)) {
+                coords<-NULL
+            }
+            """
+        else :
+            txt += """
+            coords <- NULL
+            """
+        txt += """
+        alpha <- %i/100
+        """ % self.parametres['alpha']
+        txt += """
+        alpha <- %i/100
+        """ % self.parametres['alpha']
+#############################################
+        if  self.parametres.get('bystar',False) :
+            txt += """
+            et <- list()
+            """
+            for i, line in enumerate(self.parametres['listet']) :
+                txt+= """
+                et[[%i]] <- c(%s)
+                """ % (i+1, ','.join([`val + 1` for val in line]))
+            txt+= """
+            unetoile <- c('%s')
+            """ % ("','".join([val for val in self.parametres['selectedstars']]))
+            txt += """
+            fsum <- NULL
+            rs <- rowSums(dm)
+            for (i in 1:length(unetoile)) {
+                print(unetoile[i])
+                tosum <- et[[i]]
+                if (length(tosum) > 1) {
+                    fsum <- cbind(fsum, colSums(dm[tosum,]))
+                } else {
+                    fsum <- cbind(fsum, dm[tosum,])
+                }
+            }
+            source("%s")
+            lex <- AsLexico2(fsum, chip=TRUE)
+            dcol <- apply(lex[[4]],1,which.max)
+            toblack <- apply(lex[[4]],1,max)
+            gcol <- rainbow(length(unetoile))
+            #gcol[2] <- 'orange'
+            vertex.label.color <- gcol[dcol]
+            vertex.label.color[which(toblack <= 3.84)] <- 'black'
+            leg <- list(unetoile=unetoile, gcol=gcol)  
+            cols <- vertex.label.color
+            chivertex.size <- norm.vec(toblack, vcexminmax[1],  vcexminmax[2])
+            
+            """ % (self.analyse.parent.RscriptsPath['chdfunct'])
+        else :
+            txt += """
+            vertex.label.color <- 'black' 
+            chivertex.size <- 1
+            leg<-NULL
+            """
+#############################################        
+
+#        txt += """
+#        eff <- colSums(dm)
+#        g.ori <- graph.adjacency(mat, mode='lower', weighted = TRUE)
+#        w.ori <- E(g.ori)$weight
+#        if (max.tree) {
+#            if (method == 'cooc') {
+#                E(g.ori)$weight <- 1 / w.ori
+#            } else {
+#                E(g.ori)$weigth <- 1 - w.ori
+#            }
+#            g.max <- minimum.spanning.tree(g.ori)
+#            if (method == 'cooc') {
+#                E(g.max)$weight <- 1 / E(g.max)$weight
+#            } else {
+#                E(g.max)$weight <- 1 - E(g.max)$weight
+#            }
+#            g.toplot <- g.max
+#        } else {
+#            g.toplot <- g.ori
+#        }
+#        """
+        txt += """
+        eff <- colSums(dm)
+        x <- list(mat = mat, eff = eff)
+        graph.simi <- do.simi(x, method='%s', seuil = seuil, p.type = '%s', layout.type = '%s', max.tree = %s, coeff.vertex=%s, coeff.edge = %s, minmaxeff = minmaxeff, vcexminmax = vcexminmax, cex = cex, coords = coords)
+        """ % (method, type, layout, arbremax, coeff_tv, coeff_te)
+            
+        if self.parametres.get('bystar',False) :
+            if self.parametres.get('cexfromchi', False) :
+                txt+="""
+                    label.cex<-chivertex.size
+                    """
+            else :
+                txt+="""
+                label.cex <- NULL
+                """
+            if self.parametres.get('sfromchi', False) :
+                txt += """
+                vertex.size <- norm.vec(toblack, minmaxeff[1], minmaxeff[2])
+                """
+            else :
+                txt += """
+                vertex.size <- NULL
+                """
+        else :
+            #FIXME
+            tmpchi = False
+            if tmpchi :
+                txt += """
+                lchi <- read.table("%s")
+                lchi <- lchi[,1]
+                """ % ffr(tmpchi)
+                if 'selected_col' in dir(self.tableau) :
+                    txt += """
+                    lchi <- lchi[c%s+1]
+                    """ % datas
+            if tmpchi and self.parametres.get('cexfromchi', False) :
+                txt += """ 
+                label.cex <- norm.vec(lchi, vcexminmax[1], vcexminmax[2])
+                """
+            else :
+                txt += """
+            if (is.null(vcexminmax[1])) {
+                label.cex <- NULL
+            } else {
+                label.cex <- graph.simi$label.cex
+            }
+            """
+            if tmpchi and self.parametres.get('sfromchi', False) :
+                txt += """ 
+                vertex.size <- norm.vec(lchi, minmaxeff[1], minmaxeff[2])
+                """
+            else :
+                txt += """
+            if (is.null(minmaxeff[1])) {
+                vertex.size <- NULL
+            } else {
+                vertex.size <- graph.simi$eff
+            }
+            """
+        txt += """ vertex.size <- NULL """
+        txt += """
+        coords <- plot.simi(graph.simi, p.type='%s',filename="%s", vertex.label = label.v, edge.label = label.e, vertex.col = cols, 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)
+        save.image(file="%s")
+        """ % (type, self.filename, self.pathout['RData'])
+        
+        self.add(txt)
+        self.write()
+
+class WordCloudRScript(PrintRScript) :
+    def make_script(self) :
+        self.sources([self.analyse.parent.RscriptsPath['Rgraph']])
+        self.packages(['wordcloud'])
+        bg_col = Rcolor(self.parametres['col_bg'])
+        txt_col = Rcolor(self.parametres['col_text'])
+        txt = """
+        act <- read.csv2("%s", header = FALSE, row.names=1, sep='\t')
+        selected.col <- read.table("%s")
+        toprint <- as.matrix(act[selected.col[,1] + 1,])
+        rownames(toprint) <- rownames(act)[selected.col[,1] + 1]
+        maxword <- %i
+        if (nrow(toprint) > maxword) {
+            toprint <- as.matrix(toprint[order(toprint[,1], decreasing=TRUE),])
+            toprint <- as.matrix(toprint[1:maxword,])
+        }
+        open_file_graph("%s", width = %i, height = %i)
+        par(bg=rgb%s)
+        wordcloud(row.names(toprint), toprint[,1], scale=c(%f,%f), random.order=FALSE, colors=rgb%s)
+        dev.off()
+        """ % (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)
+        self.add(txt)
+        self.write()