Please see https://github.com/hadley/plyr/issues/60
Hadley
On Thu, Jan 12, 2012 at 11:54 AM, abhagwat <bhagwatadi...@gmail.com> wrote:
> The code below shows that
> (1) the way to activate the parallel backend indeed is to use 'registerDoMC'
> (2) the function d_ply does NOT accept the argument parallel, while the
> function ddply does. Perhaps it is interesting to add this feature to d_ply,
> l_ply and a_ply too? As a workaround one can off course use the function
> ddply with a dummy return value.
>
> # df & function
> myDf = data.frame(a=factor(1:10), b=factor(1:10), c=1:10)
>
> tryFun1 = function(myDf){
> Sys.sleep(1)
> return(mean(myDf$c))
> }
> # ddply
> ddply(.data=myDf, .variables=c('a', 'b'), .fun=tryFun,
> .progress='text')
>
> registerDoMC()
> getDoParWorkers()
> ddply(.data=myDf, .variables=c('a', 'b'), .fun=tryFun,
> .progress='text',
> .parallel=TRUE)
> # d_ply
> d_ply(.data=myDf, .variables=c('a', 'b'), .fun=tryFun,
> .progress='text')
>
> registerDoMC()
> d_ply(.data=myDf, .variables=c('a', 'b'), .fun=tryFun,
> .progress='text',
> .parallel=TRUE)
>
>
> Greetz,
>
> Adi
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/parallel-computation-in-plyr-1-7-tp4289556p4289833.html
> Sent from the R help mailing list archive at Nabble.com.
>
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--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
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