I have a plotted a corrplot
and I want to have it in .eps file format. The problem is that in the .eps file, the numbers inside the circles are vanished. Is there any parameter to get them back?
library(corrplot)
test <- structure(c(100, 41.6411042944785, 69.6478873239437, 99.35956084172,
100, 99.9295774647887, 90.4849039341263, 54.409509202454, 100
), .Dim = c(3L, 3L), .Dimnames = list(c("x1", "x2", "x3"), c("x1",
"x2", "x3")))
without .eps format: (perform well)
corrplot(round(test),tl.cex=1.5,title="test", method="circle",is.corr=FALSE,type="full",
cl.lim=c(0,100),cl.cex=2,addgrid.col="blue",addshade="positive",col=col1, addCoef.col = rgb(0,0,0, alpha =0.6), mar=c(0,0,1,0), diag= FALSE)
In .eps format:
postscript("test.eps", height=8, width=8, paper="special", family="Helvetica", fonts="Helvetica", horizontal=FALSE, onefile=FALSE)
corrplot(round(test),tl.cex=1.5,title="test", method="circle",is.corr=FALSE,type="full",
cl.lim=c(0,100),cl.cex=2,addgrid.col="blue",addshade="positive",col=col1, addCoef.col = rgb(0,0,0, alpha =0.6), mar=c(0,0,1,0), diag= FALSE)
dev.off()
Did you see the warning that said
Warning message: In text.default(Pos[, 1], Pos[, 2], col = addCoef.col, labels = round((DAT - : semi-transparency is not supported on this device: reported only once per page
? That means that any colours you try to draw with semi-transparency (hint, hint: the alpha
settings in your addCoef.col
argument) won't work in a PostScript plot.
Eliminating the alpha
setting as follows (just changing the colour from rgb(0,0,0,alpha=0.6)
to rgb(0,0,0)
, although you might as well say "black"
) works fine on my system:
library("corrplot")
col1 <- "green" ## you didn't tell us what col1 was so I made something up
postscript("test.eps", height=8, width=8, paper="special",
family="Helvetica", fonts="Helvetica", horizontal=FALSE, onefile=FALSE)
corrplot(round(test),tl.cex=1.5,title="test", method="circle",
is.corr=FALSE,type="full",
cl.lim=c(0,100),cl.cex=2,
addgrid.col="blue",addshade="positive",
col=col1, addCoef.col = rgb(0,0,0), mar=c(0,0,1,0), diag= FALSE)
dev.off()