[R] Code is too slow: mean-centering variables in a data frame by subgroup

Dimitri Liakhovitski ld7631 at gmail.com
Tue Mar 30 18:30:51 CEST 2010


Thanks a lot, Charles - I'll try your approach.
Yes - don't worry about dividing by negative means - in real data all
values are positive.
Dimitri

On Tue, Mar 30, 2010 at 12:24 PM, Charles C. Berry <cberry at tajo.ucsd.edu> wrote:
> On Tue, 30 Mar 2010, Dimitri Liakhovitski wrote:
>
>> Dear R-ers,
>>
>> I have  a large data frame (several thousands of rows and about 2.5
>> thousand columns). One variable ("group") is a grouping variable with
>> over 30 levels. And I have a lot of NAs.
>> For each variable, I need to divide each value by variable mean - by
>> subgroup. I have the code but it's way too slow - takes me about 1.5
>> hours.
>> Below is a data example and my code that is too slow. Is there a
>> different, faster way of doing the same thing?
>> Thanks a lot for your advice!
>>
>> Dimitri
>>
>>
>> # Building an example frame - with groups and a lot of NAs:
>> set.seed(1234)
>>
>> frame<-data.frame(group=rep(paste("group",1:10),10),a=rnorm(1:100),b=rnorm(1:100),c=rnorm(1:100),d=rnorm(1:100),e=rnorm(1:100),f=rnorm(1:100),g=rnorm(1:100))
>
>
> Use model.matrix and crossprod to do this in a vectorized fashion:
>
>> mat <- as.matrix(frame[,-1])
>> mm <- model.matrix(~0+group,frame)
>> col.grp.N <- crossprod( !is.na(mat), mm )
>> mat[is.na(mat)] <- 0.0
>> col.grp.sum <- crossprod( mat, mm )
>> mat <- mat / ( t(col.grp.sum/col.grp.N)[ frame$group,] )
>> is.na(mat) <- is.na(frame[,-1])
>>
>
> mat is now a matrix whose columns each correspond to the columns in 'frame'
> as you have it after do.call(...)
>
>
> Are you sure you want to divide the values by their (possibly negative)
> means??
>
> HTH,
>
> Chuck
>
>
>
>> frame<-frame[order(frame$group),]
>> names.used<-names(frame)[2:length(frame)]
>> set.seed(1234)
>> for(i in names.used){
>>      i.for.NA<-sample(1:100,60)
>>      frame[[i]][i.for.NA]<-NA
>> }
>> frame
>>
>> ### Code that does what's needed but is too slow:
>> Start<-Sys.time()
>> frame <- do.call(cbind, lapply(names.used, function(x){
>>  unlist(by(frame, frame$group, function(y) y[,x] / mean(y[,x],na.rm=T)))
>> }))
>> Finish<-Sys.time()
>> print(Finish-Start) # Takes too long
>>
>> --
>> Dimitri Liakhovitski
>> Ninah.com
>> Dimitri.Liakhovitski at ninah.com
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> Charles C. Berry                            (858) 534-2098
>                                            Dept of Family/Preventive
> Medicine
> E mailto:cberry at tajo.ucsd.edu               UC San Diego
> http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901
>
>
>



-- 
Dimitri Liakhovitski
Ninah.com
Dimitri.Liakhovitski at ninah.com



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