got it... another merge did the trick
narrow6<-merge(narrow2,narrow5,by=c("gene","gender"))
Thanks for the help Rui
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Thanks,
in a way this has worked... with a slight modification to this:
narrow3<-aggregate(narrow2$value~narrow2$gene+narrow2$gender,data=narrow2,mean)
narrow4<-aggregate(narrow2$value~narrow2$gene+narrow2$gender,data=narrow2,sd)
which gives a table of the 24000 gene&gender means (narro
On 2012-07-18 04:27, Rui Barradas wrote:
Helo,
All problems should be easy.
d <- read.table(text="
gene variable value gender line rep
1 CG1 X208.F1.30456 4.758010 Female 208 1
2 CG1 X365.F2.30478 4.915395 Female 365 2
3 CG1 X799.F2.30509 4.641636 Female 799 2
4 CG1 X306.M2.326
Helo,
All problems should be easy.
d <- read.table(text="
gene variable value gender line rep
1 CG1 X208.F1.30456 4.758010 Female 208 1
2 CG1 X365.F2.30478 4.915395 Female 365 2
3 CG1 X799.F2.30509 4.641636 Female 799 2
4 CG1 X306.M2.32650 4.550676 Male 306 2
5 CG1 X712.M2.3
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