Dear all,
I would like to generate bi-variate normal data given that the first column
of the data is known. for example:
I first generate a set of data using the command,
x <- rmvnorm(10, c(0, 0), matrix(c(1, 0, 0, 1), 2))
then I would like to sum up the two columns of x:
x.sum <- apply(x, 1, sum)
now with x.sum I would like to generate another column of data, say y, that
makes cbind(x.sum, y) follow a bi-variate normal distribution with mean =
c(0, 0) and sigma = matrix(c(1, 0, 0, 1),2)
I will appreciate for all insights.
David s.
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