Hi Jim.
It was a very elegant way of solving the problem.
Thank you,
> Another way of solving the problem:
>
>> set.seed(1)
>> df1<-data.frame(C1=sample(LETTERS[1:25],20,replace=FALSE),value=sample(50,20,replace=FALSE))
>> set.seed(15)
>> df2<-data.frame(C1=sample(LETTERS[1:25],15,replace=FALS
Another way of solving the problem:
> set.seed(1)
> df1<-data.frame(C1=sample(LETTERS[1:25],20,replace=FALSE),value=sample(50,20,replace=FALSE))
> set.seed(15)
> df2<-data.frame(C1=sample(LETTERS[1:25],15,replace=FALSE),C2=1:15)
> set.seed(3)
> df3<-data.frame(C1=sample(LETTERS[1:10],10,replace=FA
Hi Arun,
it's exactly what I wanted.
Thanks a lot,
> Hi,
> May be this might help:
>
> set.seed(1)
> df1<-data.frame(C1=sample(LETTERS[1:25],20,replace=FALSE),value=sample(50,20,replace=FALSE))
> set.seed(15)
> df2<-data.frame(C1=sample(LETTERS[1:25],15,replace=FALSE),C2=1:15)
> set.seed(3)
>
Hi,
May be this might help:
set.seed(1)
df1<-data.frame(C1=sample(LETTERS[1:25],20,replace=FALSE),value=sample(50,20,replace=FALSE))
set.seed(15)
df2<-data.frame(C1=sample(LETTERS[1:25],15,replace=FALSE),C2=1:15)
set.seed(3)
df3<-data.frame(C1=sample(LETTERS[1:10],10,replace=FALSE),B1=rnorm(10,3))
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