Hi, all! I'm new to R but need to use it to solve a little problem I'm having with a paper I'm writing. The question has a few components and I'd appreciate guidance on any of them.
1. The most essential thing is that I need to generate some multivariate normal data on a restricted integer range (1 to 7). I know I can use MASS mvrnorm command to do this but have a couple questions about that: -I can make the simulated data but I don't know how to issue a command that restricts the generated data to be between a specific range (1 to 7), and integer-only. -Is there a way to specify a single desired correlation between all the variables (i.e., I want, say, five variables to all be correlated about .30 with each other), rather than input the entire covariance matrix as sigma? 2. I need to introduce missing data (NA) AFTER generating the data set, and I need it to be random and at a specific prevalence (say, 5%). Is there a simple way to take the initial data set and randomly replace 5% of values with NA missing values? Thanks, I appreciate any guidance folks can offer. :-) -- View this message in context: http://r.789695.n4.nabble.com/R-question-generating-data-using-MASS-tp3775093p3775093.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
