On 30-11-2012, at 07:18, C W wrote:
> 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()?
>
It's not clear what you exactly want.
A matrix with 15 rows and some columns?
How do you want to remove the NA's in each column?
Then why don't you leave out the NA in the sample?
Berend
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