[R] Simulating correlations with varying sample sizes

[Holger Steinmetz]

Hi there,

I would like to draw 10 correlations from a bivariate population - but every
draw should be done with a different sample size. I thought I could to this
with a loop:

r=numeric(10) #Goal vector 
N = c(1000,100,80,250,125,375,90,211,160,540) #Sample size vector
for(i in 1:10) {
    data <- mvrnorm(n=N,mu=c(0,0),Sigma=matrix(c(1,.3,.3,1),2)) 
    r[i] <- cor(data[,1],data[,2])
    }

Goal: The 10 correlations shall be contained in the r-vector.
However, this does not work. I get an error that "arguments do not match"

Has anybody an idea?

Best,
Holger



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