[R] subsetting tables
Eik Vettorazzi
E.Vettorazzi at uke.de
Tue Sep 6 16:48:39 CEST 2011
Hi Netzwerkerin,
subset is a generic function and behaves different for different object
classes.
txt<-" Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2
2 0.87 0.79 -0.57 1.07
3 0.67 -1.14 -0.78 -0.95
4 -0.46 -0.30 -0.36 1.14"
red<-read.table(textConnection(txt))
#compare
str(red[,2])
str(red[2,])
but if it comes to just counting values meeting some conditions, using
"subset" is not needed at all.
sum(red>.5)
length(which(red>.5))
and the arr.ind option of which may be useful as well.
hth
Am 06.09.2011 16:10, schrieb netzwerkerin:
> Hi guys,
>
> one of the questions where you need a real human instead of a search engine,
> so it would be great if you could help.
>
> I have a matrix of z-scores which I would like to filter, sometimes
> columnwise, sometimes rowwise. Data looks like this:
>
> Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2
> 2 0.87 0.79 -0.57 1.07
> 3 0.67 -1.14 -0.78 -0.95
> 4 -0.46 -0.30 -0.36 1.14
>
> Now I want to find all elements which are below/above some threshold. Subset
> works fine with the columns:
>
>> subset(red[,4], red[,4] > 0.5)
> [1] 1.07 1.14
>
> But not with the rows:
>
>> subset(red[2,], red[2,] > 0.5)
> Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2
> 3 0.67 -1.14 -0.78 -0.95
>
> If I try to find all values above 0.5 (any row, any column, I just need the
> number of entries), this is what I try (and get):
>
>> subset(red[,], red[,] > 0.5)
> Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2
> 2 0.87 0.79 -0.57 1.07
> 3 0.67 -1.14 -0.78 -0.95
> NA NA NA NA NA
> NA.1 NA NA NA NA
> NA.2 NA NA NA NA
>
> Obviously I'm doing something wrong, but what?
> Help very much appreciated.
> Netzwerkerin
>
> --
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>
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--
Eik Vettorazzi Department of Medical Biometry and Epidemiology
University Medical Center Hamburg-Eppendorf Martinistr. 52 20246 Hamburg
T ++49/40/7410-58243 F ++49/40/7410-57790
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