thanks, Berend. Both of your code works great. Is there a function that
can do it?
Something like this:
x <- matrix(NA, nrow=15, ncol=2)
for(i in 1:15){
x[i,] <- sample(c(NA, 20, 77), 2, prob=c(0.2, 0.3, 0.4))
}
> x
[,1] [,2]
[1,] NA 77
[2,] 77 NA
[3,] NA 77
[4,] 77 20
[5,] 77 20
[6,] 77 20
[7,] 20 NA
[8,] 77 20
[9,] 77 NA
[10,] 77 NA
[11,] 77 20
[12,] 20 77
[13,] NA 77
[14,] 77 20
[15,] 77 20
I want to have a column of 15 samples without NA's. Is there an R function
like ifelse()?
Mike
On Fri, Nov 30, 2012 at 12:24 AM, Berend Hasselman <b...@xs4all.nl> wrote:
>
> On 30-11-2012, at 05:47, C W wrote:
>
> > David,
> > Your results is,
> >
> >> samples
> >
> > [1] 111 NA 111 NA 111 NA 111 NA 111 NA
> > It still has NA's in it. I want it look like this,
> >
> >> samples
> >
> > [1] 111 111 111 111 111
>
> You don't need the for loop at all.
>
> samples <- x[x<200]
>
> or
>
> samples <- x[which(x<200)]
>
> Your for loop should look something like this
>
> k <- 1
> for(i in 1:10){
> if(x[i]<200){
> samples[k] <- x[i]
> k <- k+1
> }
> }
> na.omit(samples)
>
> Berend
>
>
>
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