On Oct 8, 2014, at 8:06 AM, Frank S. wrote:
>
>
> Hi everybody,
>
>
>
> I have (as an example) the following
> two data tables:
>
>
>
> all <-
> data.table(ID = c(rep(c(100:105),c(3,2,2,3,3,3))),
>
> value =
> c(100,120,110,90,45,35,270,50,65,40,25,55,75,30,95,70))
>
> DT <-
> data.table(ID = 100:105, code=c(2,1,3,2,3,1))
>
>
>
> My aim is to construct as many sub data tables as different values for
> the integer variable code, and I have
> done:
>
> code_1
> <- all[ID %in% DT[code==1]$ID]
>
> code_2
> <- all[ID %in% DT[code==2]$ID]
>
> code_3
> <- all[ID %in% DT[code==3]$ID]
>
>
>
> Because maximum code value can be very
> high, ¿is it possible to obtain a list of the above 3 data tables through a
> loop? I mean something like:
>
>
>
> for (i in
> 1:max(DT$code)){
>
> paste(code,‚_‚,[i]) <- }
>
> return(list)]
Why not use lapply (since it is designed to return a list) and call the subset
function in the data.table package?
>
>
>
> Thank
> you very much to all the members!
>
>
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David Winsemius
Alameda, CA, USA
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