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[R] Making tapply code more efficient
Doran, Harold HDoran at air.org
Mon Mar 9 15:43:47 CET 2009
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rld works beautifully.
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Doran, Harold
> Sent: Monday, March 09, 2009 10:25 AM
> To: ONKELINX, Thierry; jholt...@gmail.com
> Cc: r-help@r-project.org
> Subject: Re: [R] Maki
From: ONKELINX, Thierry [mailto:thierry.onkel...@inbo.be]
> Sent: Friday, February 27, 2009 10:24 AM
> To: Doran, Harold; r-help@r-project.org
> Subject: RE: [R] Making tapply code more efficient
>
> Hi Harold,
>
> What about this? You one have to make the crosstabulation
On something the size of your data it took about 30 seconds to
determine the number of unique teachers per student.
> x <- cbind(sample(326397, 800967, TRUE), sample(20, 800967, TRUE))
> # split the data so you have the number of teachers per student
> system.time(t.s <- split(x[,2], x[,1]))
us
data.
~ John Tukey
-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Namens Doran, Harold
Verzonden: vrijdag 27 februari 2009 15:47
Aan: r-help@r-project.org
Onderwerp: [R] Making tapply code more efficient
Previously, I posed the question pasted down bel
Previously, I posed the question pasted down below to the list and
received some very helpful responses. While the code suggestions
provided in response indeed work, they seem to only work with *very*
small data sets and so I wanted to follow up and see if anyone had ideas
for better efficiency. I
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