Hi,
You could try something like this:
nrow = 1000
ncol = 10
nosample = 50
m = matrix(runif(10000), nrow = nrow, ncol = ncol)
# Randomly select 50 row numbers and extract the data
m_subset = m[sample(1:nrow, size = nosample),]
cheers,
Paul
Haenlein.Michael wrote:
Dear all,
I have a large dataset (N=100,000 with 89 variables per subject). This dataset
is stored in a 100.000 x 89 matrix where each row describes one individual and
each column one variable.
What is the easiest way of selecting a subset of let's say 1.000 individuals
out of that whole matrix?
Thanks,
Michael
Michael Haenlein
Associate Professor of Marketing
ESCP-EAP European School of Management
Paris, France
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