Thank you for your help
On 6/26/08, jim holtman <[EMAIL PROTECTED]> wrote:
>
> You can at least get rid of the
>
> for (i in 1:200){
> y[i]<-rbinom(1,1,0.8)
> x1[i]<-ifelse(y[i]==1,rnorm(1,mean=20, sd=2),rnorm(1,mean=16, sd=2.2))
>
>
> loop with the following
>
> y <- rbinom(200, 1, 0.8)
> y
You can at least get rid of the
for (i in 1:200){
y[i]<-rbinom(1,1,0.8)
x1[i]<-ifelse(y[i]==1,rnorm(1,mean=20, sd=2),rnorm(1,mean=16, sd=2.2))
loop with the following
y <- rbinom(200, 1, 0.8)
y.1 <- y == 1 # get logical vector of y == 1
x1 <- numeric(200) # allocate the vector
x1[y.1] <-
Hi,
I'm trying to do a double for loop like this:
for (k in 1:1000){
for (i in 1:200){
y[i]<-rbinom(1,1,0.8)
x1[i]<-ifelse(y[i]==1,rnorm(1,mean=20, sd=2),rnorm(1,mean=16, sd=2.2))
}
for (j in 1:300){
}
}
Does anyone know a good reference about double loops?
Thank you,
Sigalit
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