[R] How to partition sample space

[Matthias Kirchner]

Hi, 

you could use the sample function:

sample<-sample(1:1000)
m.training<-m[sample[1:700],]
m.test<-m[sample[701:1000],]

Matthias



spime wrote:
> 
> Hi R-users,
> 
> I need your help in the following problem. Suppose we have a regression
> problem containing 25 predictor variables of 1000 individuals. I want to
> divide the data matrix ( 1000 x 25 ) into two partitions for training
> (70%) and testing(30%). For this reason, i sample 70% of data into another
> training matrix and remaining 30% into testing matrix using pseudorandom
> numbers (for future analysis).
> 
> I need some efficient solution so that we can generate both matrix with
> minimal time. 
> 
> Thanks in advance.
> 
> Sabyasachi
> 

-- 
View this message in context: http://www.nabble.com/How-to-partition-sample-space-tf3888059.html#a11021527
Sent from the R help mailing list archive at Nabble.com.