Hello,
Something like this?
# Make up some data
mat <- matrix(rnorm(100*37), ncol = 37)
mat <- apply(mat, 2, cumsum)
avg <- rowMeans(mat)
# matplot - matrix plot
matplot(mat, type = "l")
lines(avg, lwd = 2)
I've also seen some very nice graphics for ploting many lines in ggplot2
using transparency in order to give a visual picture of where there are
more lines.
Hope this helps,
Rui Barradas
Em 22-09-2012 00:11, eliza botto escreveu:
Dear useRs,
my question could be very basic for which i apologize in advance.
Each column of a matrix with dimensions 365 rows and 37 columns was drawn
against another matrix of dimensions 365 rows and 1 column. with that i was
able to draw 37 curves on the same axis.
now i want to draw an average curve of these 37 curves on the same axis in such
a way that all the curves (average and 37 curves) should appear on the same
axis at the same time.
i used
par(new=TRUE)
But it has 2 limitations
1- it completly distorted y-axis values
2- it was not very efficient as average curve in no overlapped the original
curves.
can any1 advise me what to do?
thanks in advance for you time.
eliza botto
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