Dear R Users,
I am interested in generating contingency tables from bivariate normal
distribution using different correlation coefficient values.
I am experimenting numerous ways of generating contingency tables, and one
possible way is to generate from multinomial distribution.
I wonder how to generate the count variables from a continuous distribution
using correlation structure. Generating bivariate normal variables can be
easily done using mvrnorm() in R. I am struggling to write R code for
generating count from continuous variables.
Any suggestions is very much appreciated.
Thanks.
Sripriya.
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