Hi:
Try
simtest <- transform(simtest,
growth = rnorm(1000, m = ifelse(treat == 0, 0.1, 0.5), s = 0.03))
HTH,
Dennis
On Mon, Apr 11, 2011 at 1:16 PM, Shane Phillips <sphill...@lexington1.net>wrote:
> I'm new to R, but I'm trying to write a program for a dissertation that
> generates a dataset as follows...
>
> subject=1:1000
> treat=rbinom(1*1000,1,.13)
> gender=rbinom(1*1000,1,.5)
> eth=runif(1*1000, min=1, max=4)
> cogat=rnorm(1*1000, 100, 16)
> map=rnorm(1*1000, 200, 9)
>
> simtest=data.frame (subject=subject, treat=treat, gender=gender,
> eth=round(eth,digits=0),
> cogat=round(cogat,digits=0),map=round(map,digits=0))
> simtest
>
> I need to add a variable named "growth". If the "treat" variable for an
> observation is 0 then "growth" needs to be a randomly generated a number
> from a normal distribution with a mean of .1 and a sd of .03. If the
> "treat" variable is 1 then "growth" needs to be a randomly generated a
> number from a normal distribution with a mean of .5 and a sd of .03.
>
> Please help!
>
> ______________________________________________
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> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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