classes <- 1:clnb
cex.par <- rep(1,clnb)
}
+ if (is.null(xmin)) {
+ table.in <- rowcoord
+ xminmax <- c(min(table.in[,1], na.rm = TRUE) + ((max(cex.par)/10) * min(table.in[,1], na.rm = TRUE)), max(table.in[,1], na.rm = TRUE) + ((max(cex.par)/10) * max(table.in[,1], na.rm = TRUE)))
+ xmin <- xminmax[1]
+ xmax <- xminmax[2]
+ yminmax <- c(min(table.in[,2], na.rm = TRUE) + ((max(cex.par)/10) * min(table.in[,2], na.rm = TRUE)), max(table.in[,2], na.rm = TRUE) + ((max(cex.par)/10) * max(table.in[,2], na.rm = TRUE)))
+ ymin <- yminmax[1]
+ ymax <- yminmax[2]
+ }
#ntabtot <- cbind(rowcoord, classes)
#if (!col) ntabtot <- ntabtot[row_keep,]
xlab <- paste('facteur ', x, ' -')
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, xminmax=c(xmin,xmax), yminmax=c(ymin,ymax))
-
+ xyminmax <- list(yminmax = c(ymin,ymax), xminmax = c(xmin,xmax))
+ xyminmax
#plot(rowcoord[,x],rowcoord[,y], pch='', xlab = xlab, ylab = ylab)
#abline(h=0,v=0)
#for (i in 1:clnb) {