Well, it throws an error, because there is no such function in default R. A bit
of googling showed it might be the one in the caTools package.
execute this:
install.packages("caTools")
library(caTools)
before executing your code
Am 25.04.2012 um 12:39 schrieb Dwaipayan Dasgupta:
> Hi,
> Could someone help me with this please , im trying to use
> Y = Attrition_data[,1] # extract labels from the data
> msk = sample.split (Y, SplitRatio=3/4)
> table(Y,msk)
> to do the splitting but it keeps throwing up and error
> Error: could not find function "sample.split"
> Could you please help
>
> Thanks in advance
> doy
>
>
> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of Dwaipayan Dasgupta
> Sent: Tuesday, April 24, 2012 9:08 PM
> To: r-help@r-project.org
> Subject: [R] Splitting data into test and train (80:20) kepping attributes
> similar
>
> Hi,
> I am trying to do some predictive modeling around attrition and want to split
> the dataset into test and train (80:20) and keep the ratio of attritees:non
> attrites same.
> In my dataset the attrition indicator is coded as 0(for non-attritees) and 1
> (for attritees) and I want to keep the ratio of 0's to 1 similar.
> I apologize for this trivial question but this is my second week with R.
>
> Thanks,
> Doy
>
>
>
>
>
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