also try

active.sample<-sample(1:1000,n=700)
active.df<-thedf[active.sample, ]
   test.df<-thedf[-active.sample, ]

 
Justin BEM
Elève Ingénieur Statisticien Economiste
BP 294 Yaoundé.
Tél (00237)9597295.

----- Message d'origine ----
De : Matthias Kirchner <sofa-surfer@web.de>
À : r-help@stat.math.ethz.ch
Envoyé le : Vendredi, 8 Juin 2007, 8h06mn 41s
Objet : Re: [R] How to partition sample space


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
> 

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