Wow. This is much cleaner and smarter than the for loop, cbind
thanks a lot .
On Thu, Aug 18, 2016 at 6:28 PM, Jim Lemon wrote:
> Hi Adrian,
> Try this:
>
> sm$rowmeans<-rowMeans(sm[,2:length(sm)])
> sm<-sm[order(sm$Gene,sm$rowmeans,decreasing=TRUE),]
> sm[-which(duplicated(sm$Gene)),]
>
> Jim
>
oh I forgot I renamed sm.
dt = sm
library(data.table)
setDT(dt)
op = function(s){
mean0 = apply(s, 1, mean)
ret = s[which.max(mean0)]
ret$mean = mean0
ret
}
max_row = dt[, op(.SD), by = "Gene"]
Thanks,
Jeremiah
On Thu, Aug 18, 2016 at 3:21 PM, jeremiah rounds
wrote:
> library(data.table)
> se
Hi Adrian,
Try this:
sm$rowmeans<-rowMeans(sm[,2:length(sm)])
sm<-sm[order(sm$Gene,sm$rowmeans,decreasing=TRUE),]
sm[-which(duplicated(sm$Gene)),]
Jim
On Fri, Aug 19, 2016 at 7:33 AM, Adrian Johnson
wrote:
> Hi Group,
> I have a data matrix sm (dput code given below).
>
> I want to create a da
library(data.table)
setDT(dt)
op = function(s){
mean0 = apply(s, 1, mean)
ret = s[which.max(mean0)]
ret$mean = mean0
ret
}
max_row = dt[, op(.SD), by = "Gene"]
Thanks,
Jeremiah
On Thu, Aug 18, 2016 at 2:33 PM, Adrian Johnson
wrote:
> Hi Group,
> I have a data matrix sm (dput code given below).
Hi Group,
I have a data matrix sm (dput code given below).
I want to create a data matrix with rows with same variable that have
higher mean.
> sm
Gene GSM529305 GSM529306 GSM529307 GSM529308
1A1BG 6.57 6.72 6.83 6.69
2A1CF 2.91 2.80 3.08 3.00
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