If the 'data set' is a dataframe, the following will work:
x$v1 <- ifelse(x$p > 0.4, 1, 0)
x$v2 <- ifelse(x$p > 0.6, 1, 0)
If it is matrix, try
x <- cbind(x, v1=ifelse(x[,'p'] > 0.4, 1, 0),
v2=ifelse(x[,'p'] > 0.6, 1, 2))
If helps a lot if you follow the posting rules and provide commented,
minimal, self-contained, reproducible code.
On Sat, Oct 10, 2009 at 6:04 PM, Ashta <sewashm at gmail.com>
wrote:> Hi all,
>
> I have a data set called x with ? ?200 rows ?and 12 ?columns. ?I want
> create ?two more columns based on ?probability. ie
> ?if p >0 .4 then ?v1 =1 else v1=0;
> ?if p >0 .6 then ?v2 =1 else v2=0;
>
> Finally x will have 14 variables.
>
> Can any one show me how to do that?
>
> Thanks
> Ashta
>
>
> .
>
> ? ? ? ?[[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?