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 = TRUE, libsvdc = libsvdc, libsvdc.path = libsvdc.path)
"""
if classif_mode == 0:
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'], \
res
}
-CHD<-function(data.in, x=9, libsvdc=FALSE, libsvdc.path=NULL){
+CHD<-function(data.in, x=9, mode.patate = FALSE, libsvdc=FALSE, libsvdc.path=NULL){
# sink('/home/pierre/workspace/iramuteq/dev/findchi2.txt')
dataori <- data.in
row.names(dataori) <- rownames(data.in)
###################################################################
# reclassement des individus #
###################################################################
- malcl<-1000000000000
- it<-0
- listsub<-list()
- #in boucle
- ln <- which(dtable==1, arr.ind=TRUE)
- lnz <- list()
- lnz[1:nrow(dtable)] <- 0
-
- for (k in 1:nrow(ln)) {lnz[[ln[k,1]]]<-append(lnz[[ln[k,1]]],ln[k,2])}
- for (k in 1:nrow(dtable)) {lnz[[k]] <- lnz[[k]][-1]}
- TT<-sum(dtable)
-
- while (malcl!=0 & N1>=5 & N2>=5) {
- it<-it+1
- listsub[[it]]<-vector()
- txt <- paste('nombre iteration', it)
- #pp('nombre iteration',it)
- vdelta<-vector()
- #dtable[,'cl']<-cl
- t1<-dtable[which(cl[,1]==clnb),]#[,-ncol(dtable)]
- t2<-dtable[which(cl[,1]==clnb+1),]#[,-ncol(dtable)]
- ncolt<-ncol(t1)
- #pp('ncolt',ncolt)
-
- if (N1 != 1) {
- sc1<-colSums(t1)
- } else {
- sc1 <- t1
- }
- if (N2 != 1) {
- sc2<-colSums(t2)
- } else {
- sc2 <- t2
- }
-
- sc<-sc1+sc2
- chtableori<-rbind(sc1,sc2)
- chtable<-chtableori
- interori<-MyChiSq(chtableori,sc,TT)/TT#chisq.test(chtableori)$statistic#/TT
- txt <- paste(txt, ' - interori : ',interori)
- #pp('interori',interori)
-
- N1<-nrow(t1)
- N2<-nrow(t2)
-
- #pp('N1',N1)
- #pp('N2',N2)
- txt <- paste(txt, 'N1:', N1,'-N2:',N2)
- print(txt)
- compte <- 0
- for (l in lnz){
- chi.in<-chtable
- compte <- compte + 1
- if(cl[compte]==clnb){
- chtable[1,l]<-chtable[1,l]-1
- chtable[2,l]<-chtable[2,l]+1
- }else{
- chtable[1,l]<-chtable[1,l]+1
- chtable[2,l]<-chtable[2,l]-1
- }
- interswitch<-MyChiSq(chtable,sc,TT)/TT#chisq.test(chtable)$statistic/TT
- ws<-interori-interswitch
-
- if (ws<0){
- interori<-interswitch
- if(cl[compte]==clnb){
- #sc1<-chtable[1,]
- #sc2<-chtable[2,]
- cl[compte]<-clnb+1
- listsub[[it]]<-append(listsub[[it]],compte)
- } else {
- #sc1<-chtable[1,]
- #sc2<-chtable[2,]
- cl[compte]<-clnb
- listsub[[it]]<-append(listsub[[it]],compte)
- }
- vdelta<-append(vdelta,compte)
- } else {
- chtable<-chi.in
- }
- }
-# for (val in vdelta) {
-# if (cl[val]==clnb) {
-# cl[val]<-clnb+1
-# listsub[[it]]<-append(listsub[[it]],val)
-# }else {
-# cl[val]<-clnb
-# listsub[[it]]<-append(listsub[[it]],val)
-# }
-# }
- print('###################################')
- print('longueur < 0')
- malcl<-length(vdelta)
- if ((it>1)&&(!is.logical(listsub[[it]]))&&(!is.logical(listsub[[it-1]]))){
- if (listsub[[it]]==listsub[[(it-1)]]){
- malcl<-0
- }
- }
- print(malcl)
- print('###################################')
- }
+ if (!mode.patate) {
+ malcl<-1000000000000
+ it<-0
+ listsub<-list()
+ #in boucle
+ ln <- which(dtable==1, arr.ind=TRUE)
+ lnz <- list()
+ lnz[1:nrow(dtable)] <- 0
+
+ for (k in 1:nrow(ln)) {lnz[[ln[k,1]]]<-append(lnz[[ln[k,1]]],ln[k,2])}
+ for (k in 1:nrow(dtable)) {lnz[[k]] <- lnz[[k]][-1]}
+ TT<-sum(dtable)
+
+ while (malcl!=0 & N1>=5 & N2>=5) {
+ it<-it+1
+ listsub[[it]]<-vector()
+ txt <- paste('nombre iteration', it)
+ #pp('nombre iteration',it)
+ vdelta<-vector()
+ #dtable[,'cl']<-cl
+ t1<-dtable[which(cl[,1]==clnb),]#[,-ncol(dtable)]
+ t2<-dtable[which(cl[,1]==clnb+1),]#[,-ncol(dtable)]
+ ncolt<-ncol(t1)
+ #pp('ncolt',ncolt)
+
+ if (N1 != 1) {
+ sc1<-colSums(t1)
+ } else {
+ sc1 <- t1
+ }
+ if (N2 != 1) {
+ sc2<-colSums(t2)
+ } else {
+ sc2 <- t2
+ }
+
+ sc<-sc1+sc2
+ chtableori<-rbind(sc1,sc2)
+ chtable<-chtableori
+ interori<-MyChiSq(chtableori,sc,TT)/TT#chisq.test(chtableori)$statistic#/TT
+ txt <- paste(txt, ' - interori : ',interori)
+ #pp('interori',interori)
+
+ N1<-nrow(t1)
+ N2<-nrow(t2)
+
+ #pp('N1',N1)
+ #pp('N2',N2)
+ txt <- paste(txt, 'N1:', N1,'-N2:',N2)
+ print(txt)
+ compte <- 0
+ for (l in lnz){
+ chi.in<-chtable
+ compte <- compte + 1
+ if(cl[compte]==clnb){
+ chtable[1,l]<-chtable[1,l]-1
+ chtable[2,l]<-chtable[2,l]+1
+ }else{
+ chtable[1,l]<-chtable[1,l]+1
+ chtable[2,l]<-chtable[2,l]-1
+ }
+ interswitch<-MyChiSq(chtable,sc,TT)/TT#chisq.test(chtable)$statistic/TT
+ ws<-interori-interswitch
+
+ if (ws<0){
+ interori<-interswitch
+ if(cl[compte]==clnb){
+ #sc1<-chtable[1,]
+ #sc2<-chtable[2,]
+ cl[compte]<-clnb+1
+ listsub[[it]]<-append(listsub[[it]],compte)
+ } else {
+ #sc1<-chtable[1,]
+ #sc2<-chtable[2,]
+ cl[compte]<-clnb
+ listsub[[it]]<-append(listsub[[it]],compte)
+ }
+ vdelta<-append(vdelta,compte)
+ } else {
+ chtable<-chi.in
+ }
+ }
+ # for (val in vdelta) {
+ # if (cl[val]==clnb) {
+ # cl[val]<-clnb+1
+ # listsub[[it]]<-append(listsub[[it]],val)
+ # }else {
+ # cl[val]<-clnb
+ # listsub[[it]]<-append(listsub[[it]],val)
+ # }
+ # }
+ print('###################################')
+ print('longueur < 0')
+ malcl<-length(vdelta)
+ if ((it>1)&&(!is.logical(listsub[[it]]))&&(!is.logical(listsub[[it-1]]))){
+ if (listsub[[it]]==listsub[[(it-1)]]){
+ malcl<-0
+ }
+ }
+ print(malcl)
+ print('###################################')
+ }
+ }
#dtable<-cbind(dtable,'cl'=as.vector(cl))
#dtable[,'cl'] <-as.vector(cl)
#######################################################################
row_keep
}
+select.chi.classe <- function(tablechi, nb) {
+ rowkeep <- NULL
+ for (i in 1:ncol(tablechi)) {
+ rowkeep <- append(rowkeep,order(tablechi[,i], decreasing = TRUE)[1:nb])
+ }
+ rowkeep <- unique(rowkeep)
+ rowkeep
+}
+
#from summary.ca
summary.ca.dm <- function(object, scree = TRUE, ...){
obj <- object
res
}
-make_afc_graph <- function(toplot,classes,clnb, xlab, ylab, cex.txt = NULL, leg = FALSE, cmd = FALSE, black = FALSE) {
+make_afc_graph <- function(toplot, classes, clnb, xlab, ylab, cex.txt = NULL, leg = FALSE, cmd = FALSE, black = FALSE) {
rain <- rainbow(clnb)
compt <- 1
tochange <- NULL
cl.color <- 'black'
}
plot(toplot[,1],toplot[,2], pch='', xlab = xlab, ylab = ylab)
- abline(h=0,v=0, lty = 'dashed')
- #print('ATTENTION Rgraph.R : utilisation de maptools !')
- #library(maptools)
+ abline(h=0, v=0, lty = 'dashed')
if (is.null(cex.txt))
- #pointLabel(toplot[,1],toplot[,2],rownames(toplot),col=cl.color)
- text(toplot[,1],toplot[,2],rownames(toplot),col=cl.color)
+ text(toplot[,1],toplot[,2],rownames(toplot),col=cl.color, offset=0)
else
- #pointLabel(toplot[,1],toplot[,2],rownames(toplot),col=cl.color, cex = cex.txt)
- text(toplot[,1],toplot[,2],rownames(toplot),col=cl.color, cex = cex.txt)
+ text(toplot[,1],toplot[,2],rownames(toplot),col=cl.color, cex = cex.txt, offset=0)
if (!cmd) {
dev.off()
select.nb <- %i
do.select.chi <- %s
select.chi <- %i
+do.select.chi.classe <- %s
+ptbycluster <- %i
cex.txt <- %s
txt.min <- %i
txt.max <- %i
}
}
- if (over) {
- rn <- rownames(table.in)
- rownames(table.in) <- 1:nrow(table.in)
- table.in <- unique(table.in)
- rn.keep <- as.numeric(rownames(table.in))
- rownames(table.in) <- rn[rn.keep]
- tablechi <- tablechi[rn.keep,]
- if (qui==0) {
- cex.par <- cex.par[rn.keep]
- } else {
- cex.par <- NULL
- }
- }
+# if (over) {
+# rn <- rownames(table.in)
+# rownames(table.in) <- 1:nrow(table.in)
+# table.in <- unique(table.in)
+# rn.keep <- as.numeric(rownames(table.in))
+# rownames(table.in) <- rn[rn.keep]
+# tablechi <- tablechi[rn.keep,]
+# if (qui==0) {
+# cex.par <- cex.par[rn.keep]
+# } else {
+# cex.par <- NULL
+# }
+# }
if (do.select.nb) {
if (select.nb > nrow(table.in)) select.nb <- nrow(table.in)
row.keep <- select_point_nb(tablechi, select.nb)
row.keep <- select_point_chi(tablechi, select.chi)
table.in <- table.in[row.keep,]
tablechi <- tablechi[row.keep,]
+ } else if (do.select.chi.classe) {
+ row.keep <- select.chi.classe(tablechi, ptbycluster)
+ table.in <- table.in[row.keep,]
+ tablechi <- tablechi[row.keep,]
} else {
row.keep <- 1:nrow(table.in)
}
}
}
+#################################################@@
+#from wordcloud
+overlap <- function(x1, y1, sw1, sh1, boxes) {
+ use.r.layout <- FALSE
+ if(!use.r.layout)
+ return(.overlap(x1,y1,sw1,sh1,boxes))
+ s <- 0
+ if (length(boxes) == 0)
+ return(FALSE)
+ for (i in c(last,1:length(boxes))) {
+ bnds <- boxes[[i]]
+ x2 <- bnds[1]
+ y2 <- bnds[2]
+ sw2 <- bnds[3]
+ sh2 <- bnds[4]
+ if (x1 < x2)
+ overlap <- x1 + sw1 > x2-s
+ else
+ overlap <- x2 + sw2 > x1-s
+
+ if (y1 < y2)
+ overlap <- overlap && (y1 + sh1 > y2-s)
+ else
+ overlap <- overlap && (y2 + sh2 > y1-s)
+ if(overlap){
+ last <<- i
+ return(TRUE)
+ }
+ }
+ FALSE
+}
+
+.overlap <- function(x11,y11,sw11,sh11,boxes1){
+ .Call("is_overlap",x11,y11,sw11,sh11,boxes1)
+}
+
+stopoverlap <- function(x, cex.par = NULL) {
+#from wordcloud
+ library(wordcloud)
+ tails <- "g|j|p|q|y"
+ rot.per <- 0
+ last <- 1
+ thetaStep <- .1
+ rStep <- .5
+ toplot <- NULL
+
+# plot.new()
+ plot(x[,1],x[,2], pch='')
+
+ words <- rownames(x)
+ if (is.null(cex.par)) {
+ size <- rep(0.9, nrow(x))
+ } else {
+ size <- cex.par
+ }
+ #cols <- rainbow(clnb)
+ boxes <- list()
+ for (i in 1:nrow(x)) {
+ rotWord <- runif(1)<rot.per
+ r <-0
+ theta <- runif(1,0,2*pi)
+ x1<- x[i,1]
+ y1<- x[i,2]
+ wid <- strwidth(words[i],cex=size[i])
+ ht <- strheight(words[i],cex=size[i])
+ if(grepl(tails,words[i]))
+ ht <- ht + ht*.2
+ if(rotWord){
+ tmp <- ht
+ ht <- wid
+ wid <- tmp
+ }
+ isOverlaped <- TRUE
+ while(isOverlaped){
+ if(!overlap(x1-.5*wid,y1-.5*ht,wid,ht, boxes)) { #&&
+ toplot <- rbind(toplot, c(x1, y1, size[i], i))
+ #text(x1,y1,words[i],cex=size[i],offset=0,srt=rotWord*90,
+ # col=cols[classes[i]])
+ boxes[[length(boxes)+1]] <- c(x1-.5*wid,y1-.5*ht,wid,ht)
+ isOverlaped <- FALSE
+ } else {
+ if(r>sqrt(.5)){
+ print(paste(words[i], "could not be fit on page. It will not be plotted."))
+ isOverlaped <- FALSE
+ }
+ theta <- theta+thetaStep
+ r <- r + rStep*thetaStep/(2*pi)
+ x1 <- x[i,1]+r*cos(theta)
+ y1 <- x[i,2]+r*sin(theta)
+ }
+ }
+ }
+ row.names(toplot) <- words[toplot[,4]]
+ return(toplot)
+}
+###############################################################################
+
if (typegraph == 0) {
open_file_graph(fileout, width = width, height = height)
parcex <- taillecar/10
par(cex = parcex)
+ if (over) {
+ table.in <- stopoverlap(table.in, cex.par=cex.par)
+ classes <- classes[table.in[,4]]
+ cex.par <- cex.par[table.in[,4]]
+ }
make_afc_graph(table.in, classes, clnb, xlab, ylab, cex.txt = cex.par)
} else {
self.label_4 = wx.StaticText(self, -1, txt)
self.check1 = wx.CheckBox(self, -1)
self.spin_nb = wx.SpinCtrl(self, -1, '', size = (100,30), min=2, max=1000)
+ txt = u"""Prendre les x premiers points par classe"""
+ self.label_chic = wx.StaticText(self, -1, txt)
+ self.check_chic = wx.CheckBox(self, -1)
+ self.spin_nbchic = wx.SpinCtrl(self, -1, '', size = (100,30), min=2, max=1000)
txt = u"""Limiter le nombre de points
par le chi2 de liaison aux classes"""
self.label_5 = wx.StaticText(self, -1, txt)
self.Bind(wx.EVT_CHECKBOX, self.OnCheckTchi, self.check_tchi)
self.Bind(wx.EVT_CHOICE, self.On3D, self.choicetype)
self.Bind(wx.EVT_CHOICE, self.OnPass, self.choice2)
+ self.Bind(wx.EVT_CHECKBOX, self.OnCheckChic, self.check_chic)
self.__set_properties()
self.OnNorm(wx.EVT_CHECKBOX)
self.OnCheckTchi(wx.EVT_CHECKBOX)
self.spin3.SetValue(self.paramgraph['taillecar'])
self.spin_nb.SetValue(self.paramgraph['select_nb'])
self.spin_chi.SetValue(self.paramgraph['select_chi'])
+ self.spin_nbchic.SetValue(self.paramgraph['nbchic'])
self.check1.SetValue(self.paramgraph['do_select_nb'])
self.check2.SetValue(self.paramgraph['do_select_chi'])
+ self.check_chic.SetValue(self.paramgraph['do_select_chi_classe'])
self.check3.SetValue(self.paramgraph['over'])
if self.paramgraph['do_select_nb'] :
self.spin_nb.Enable(True)
self.spin_chi.Enable(False)
+ self.spin_nbchic.Enable(False)
+ elif self.paramgraph['do_select_chi_classe'] :
+ self.spin_nb.Enable(False)
+ self.spin_chi.Enable(False)
+ self.spin_nbchic.Enable(True)
+ elif self.paramgraph['do_select_chi'] :
+ self.spin_nb.Enable(False)
+ self.spin_chi.Enable(True)
+ self.spin_nbchic.Enable(False)
else :
self.spin_nb.Enable(False)
+ self.spin_chi.Enable(False)
+ self.spin_nbchic.Enable(False)
+
+
self.check4.SetValue(self.paramgraph['cex_txt'])
self.spin_min.SetValue(self.paramgraph['txt_min'])
self.spin_max.SetValue(self.paramgraph['txt_max'])
self.spin_min_tchi.SetValue(self.paramgraph['tchi_min'])
self.spin_max_tchi.SetValue(self.paramgraph['tchi_max'])
- if self.paramgraph['do_select_chi'] :
- self.spin_nb.Enable(False)
- self.spin_chi.Enable(True)
- else :
- self.spin_chi.Enable(False)
self.spin_f1.SetValue(self.paramgraph['facteur'][0])
self.spin_f2.SetValue(self.paramgraph['facteur'][1])
self.spin_f3.SetValue(self.paramgraph['facteur'][2])
fsizer.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0)
fsizer.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0)
+ fsizer.Add(self.label_chic, 0, wx.ALL | wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL, 5)
+ sizer_nbchic = wx.BoxSizer(wx.HORIZONTAL)
+ sizer_nbchic.Add(self.check_chic, 0, wx.ALL | wx.ALIGN_RIGHT | wx.ALIGN_CENTER_VERTICAL, 5)
+ sizer_nbchic.Add(self.spin_nbchic, 0, wx.ALL | wx.ALIGN_RIGHT | wx.ALIGN_CENTER_VERTICAL, 5)
+ fsizer.Add(sizer_nbchic, 0, wx.ALL | wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL, 5)
+ fsizer.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0)
+ fsizer.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0)
+
fsizer.Add(self.label_5, 0, wx.ALL | wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL, 5)
sizer_chi = wx.BoxSizer(wx.HORIZONTAL)
sizer_chi.Add(self.check2, 0, wx.ALL | wx.ALIGN_LEFT | wx.ALIGN_CENTER_VERTICAL, 5)
sizer_2.Fit(self)
self.Layout()
- def OnCheck1(self,event):
+ def OnCheck1(self, event):
if self.check1.GetValue() :
self.check2.SetValue(False)
+ self.check_chic.SetValue(False)
self.spin_chi.Enable(False)
self.spin_nb.Enable(True)
+ self.spin_nbchic.Enable(False)
else :
self.spin_nb.Enable(False)
- def OnCheck2(self,event):
+ def OnCheck2(self, event):
if self.check2.GetValue() :
- self.check1.SetValue(False)
- self.spin_nb.Enable(False)
- self.spin_chi.Enable(True)
+ self.check1.SetValue(False)
+ self.check_chic.SetValue(False)
+ self.spin_chi.Enable(True)
+ self.spin_nb.Enable(False)
+ self.spin_nbchic.Enable(False)
else :
self.spin_chi.Enable(False)
+ def OnCheckChic(self, event) :
+ if self.check_chic.GetValue() :
+ self.check1.SetValue(False)
+ self.check2.SetValue(False)
+ self.spin_chi.Enable(False)
+ self.spin_nb.Enable(False)
+ self.spin_nbchic.Enable(True)
+ else :
+ self.spin_nbchic.Enable(False)
+
def OnNorm(self, event):
if not self.check4.GetValue() :
self.spin_min.Disable()
bmp = wx.Image(os.path.join(ImagePath, 'splash.png')).ConvertToBitmap()
wx.SplashScreen.__init__(self, bmp,
wx.SPLASH_CENTRE_ON_SCREEN | wx.SPLASH_TIMEOUT,
- 3000, None, -1)
+ 1000, None, -1)
self.Bind(wx.EVT_CLOSE, self.OnClose)
self.fc = wx.FutureCall(1500, self.ShowMain)
'qui' : 0,
'do_select_nb' : 0,
'do_select_chi' : 0,
+ 'do_select_chi_classe' : 0,
'select_nb' : 50,
'select_chi' : 4,
+ 'nbchic' : 30,
'over' : 0,
'cex_txt' : 0,
'txt_min' : 5,
'qui' : dial.choice2.GetSelection(),
'do_select_nb' : dial.check1.GetValue(),
'do_select_chi' : dial.check2.GetValue(),
+ 'do_select_chi_classe' : dial.check_chic.GetValue(),
'select_nb' : dial.spin_nb.GetValue(),
'select_chi' : dial.spin_chi.GetValue(),
+ 'nbchic' : dial.spin_nbchic.GetValue(),
'over' : dial.check3.GetValue(),
'cex_txt' : dial.check4.GetValue(),
'txt_min' : dial.spin_min.GetValue(),
afc <- afcf
afc_table <- afcf_table
chistabletot <- specfp
+ infp <- which(is.infinite(chistabletot) & chistabletot > 0)
+ infm <- which(is.infinite(chistabletot) & chistabletot < 0)
+ chistabletot[infp] <- 0
+ chistabletot[infm] <- 0
+ chistabletot[infp] <- max(chistabletot) + 1
+ chistabletot[infm] <- min(chistabletot) - 1
"""
elif self.itempath == 'liste_graph_afct' :
txt +="""
projects / iramuteq / commitdiff