On 10/15/2009 07:40 AM, Joel Fürstenberg-Hägg wrote:
Hi,
I've got a data frame (556 rows and 36 columns) from which I need to create
several xy plots and print to pdf, in order to detect outliers and trends in
the data. 16 of the columns contains numerical values, and I would like to
create graphs for all combinations. It can be done manually, but creating 256
plots by hand takes time... I guess I have to iterate through the data frame,
but I'm not used to do that with R. Below I've written my thoughts, trying to
combine my knowledge in Java and R, just to give you the idea:
pdf("FieldTrial0809Overview.pdf")
int colWidth = fieldTrial[0].length;
for(i=0, i<colWidth, i++)
{
for(j=0, j<colWidth, j++)
{
String colI=get.fieldTrial$i;
String colJ=get.fieldTrial$j;
plot(fieldTrial$i~fieldTrial$j, main=colI + " vs " + colJ, xlab=colI,
ylab=colJ)
}
}
dev.off()
Anyone who know how to solve this?
Do I have to copy the 16 numerical columns to a new dataset, because they are
not grouped and there are 20 additional non-numerical columns in the data frame.
By the way, can the iterations be made using R, or do you have to combine with
for instance Perl?
Hi Joel,
If by "all combinations" you mean all pairwise combinations, then if
your numeric columns are numbers 5 to 20, you could do this:
allpairs<-combn(5:20,2)
for(i in 1:dim(allpairs)[2]) {
pdf(
paste("FieldTrial0809Overview",
allpairs[1,i],allpairs[2,i],sep="_"))
plot(fieldTrial[,allpairs[1,i]],fieldTrial[,allpairs[2,i]],...)
dev.off()
}
Jim
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