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...----- jpeg("test.jpeg", bg="green") plot(1:10, 1:10, col="red") dev.off() --- jpeg("test.jpeg", bg="white") plot(1:10, 1:10, col="red") dev.off() Now, all of this gives a bluish background when wieved with Windows Picture and Fax wiever or with the GIMP-2.0 The bg= argument does not seem to have any effect. Now repeating in rw191: jpeg("test.jpeg", bg="orangered") plot(1:10, 1:10, col="blue") dev.off() and the background is blue (not the same "bluish" as above) jpeg("test.jpeg&quo...

Dear all, the default plotting method for hclust trees looks just fine for few objects like in the example dataset. But when it comes to many objects (some 1000 - I'm trying to visualize clustered microarray data) it renders a tree, that one cannot inspect, because of overlapping text and lines. My question is, is there a way or a plotting parameter for plotting a tree which is wide enough