Entering edit mode
One way is to simply color the lines using the col argument (e.g.,
plotAffyRNAdeg(AffyRNAdeg(abatch), col=1:14). You will only get 8
unique
colors, but they recycle so you should be able to figure out which one
is which. You could also add a legend (legend(x,y, lty=1, col=1:14,
legend=list.celfiles())).
HTH,
Jim
James W. MacDonald
Affymetrix and cDNA Microarray Core
University of Michigan Cancer Center
1500 E. Medical Center Drive
7410 CCGC
Ann Arbor MI 48109
734-647-5623
>>> <kfbargad@lg.ehu.es> 07/23/04 12:52PM >>>
Dear users,
I am working with 14 U133plus chips. I read in my data using
ReadAffy()
and it was a bit slow but worked fine after having increased the
memory
usage to 3000.
I have tried to obtain some degradation plots and this time the
computer crashes. Is AffyRNADeg that demanding?
>Raw.Data <- ReadAffy()
>deg <- AffyRNADeg(Raw.Data)
I am running R 1.9.1 on a PC, 512megas RAM
Also, how could I label the outcome lines of plotAffyRNAdeg so that I
graphically know which chip is the odd one in the case there is one?
Maybe use the "legend" function, but how?
Thanks for your help
Regards
David
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