Ad_1 <- subset(Attrition_data_1,Attrition_ind=="1")
Ad_0 <- subset(Attrition_data_1,Attrition_ind=="0")
s1<-sample(1:dim(Ad_0)[1],0.8*dim(Ad_0)[1])# 80% of the non-attrites
s2<-sample(1:dim(Ad_1)[1],0.8*dim(Ad_1)[1])# 80% of attritees
s3<- Ad_0 [-s1,]
summary(s3)
s4<- Ad_1 [-s2,]
summary(s4)
Behalf Of Jessica Streicher
Sent: Thursday, April 26, 2012 5:07 PM
To: r-help@r-project.org
Subject: Re: [R] Splitting data into test and train (80:20) kepping attributes
similar
Be reminded that s1 and s2 are only the indexes on AD_0 and AD_1 of the data
which you want to keep.
therefore
traindata
> Would you help please
>
> Thanks,
> Dwaipayan
>
> From: Jessica Streicher [mailto:j.streic...@micromata.de]
> Sent: Wednesday, April 25, 2012 9:25 PM
> To: Dwaipayan Dasgupta
> Cc: r-help@r-project.org
> Subject: Re: [R] Splitting data into test and train (80:20) keppi
You can run simulations to find out how large N must be so that split sample
validation yields sufficient precision to be trustworthy, in other words,
that different random splits provide the same estimate of model accuracy to
within some small tolerance. You will be surprised how large N must be
M
To: Dwaipayan Dasgupta
Cc: r-help@r-project.org
Subject: Re: [R] Splitting data into test and train (80:20) kepping attributes
similar
Don't know whats wrong there (except if you're using the eclipse R plugin on a
mac like me and the window for choosing the download site doesn't pop
"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: Tuesd
roject.org
Subject: Re: [R] Splitting data into test and train (80:20) kepping attributes
similar
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")
libr
ample.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-h
lease 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
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 o
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