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
tchi.min <- %i
tchi.max <- %i
dirout <- '%s'
+#xmin <- xmin
+#xmax <- xmax
+#ymin <- ymin
+#ymax <- ymax
xlab <- paste('facteur ', x, ' -')
ylab <- paste('facteur ', y, ' -')
}
classes <- c(1:clnb)
maxchi <- 1
- cex.par <- NULL
+ cex.par <- rep(taillecar/10, nrow(table.in))
} else {
if ( what == 0 ) table.in <- afc$rowcoord
- if ( what == 1 ) table.in <- afc$rowcrl*2
+ if ( what == 1 ) table.in <- afc$rowcrl
rownames(table.in) <- afc$rownames
tablechi <- chistabletot
rn.keep <- c()
}
}
- 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)
}
classes <- apply(tablechi, 1, which.max)
maxchi <- apply(tablechi, 1, max)
-
+ infp <- which(is.infinite(maxchi) & maxchi > 0)
+ if (length(infp)) {
+ maxchi[infp] <- NA
+ valmax <- max(maxchi, na.rm = TRUE)
+ maxchi[infp] <- valmax + 2
+ }
if (cex.txt) {
#row.keep <- append(row.keep, rn.keep)
#row.keep <- unique(row.keep)
cex.par <- maxchi
cex.par <- norm.vec(cex.par, tchi.min/10, tchi.max/10)
} else {
- cex.par <- NULL
+ cex.par <- rep(taillecar/10, nrow(table.in))
}
}
+
if (typegraph == 0) {
open_file_graph(fileout, width = width, height = height)
parcex <- taillecar/10
par(cex = parcex)
+ if (over) {
+ table.in <- table.in[order(cex.par, decreasing = TRUE),]
+ classes <- classes[order(cex.par, decreasing = TRUE)]
+ cex.par <- cex.par[order(cex.par, decreasing = TRUE)]
+ 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 {