I'm trying to simulate trend data over a five year period. I want
different trend profiles...the simplest being a linear trend. I've been
using the following code:
patBdta1 <- NULL
for(i in 1:100)
patBdta1 <- rbind(patBdta1,c(yr1= mean(rbinom(50,1,.50)),
yr2 =mean(rbinom(50,1,.51)),
yr3 =mean(rbinom(50,1,.52)),
yr4 =mean(rbinom(50,1,.53)),
yr5 =mean(rbinom(50,1,.54))))
This code creates 100 data sets each with a 5 yr binomial trend profile
with a slope of approximately .01.
Now, what I want to do is pass this code (or some code) in such a way
that I can simulate various trend slopes (i.e., pass in a loop or
vectorize vs. copying/repeating code for each slope).
Any guidance is much appreciated. Thanks!
Marc
Marc W. Zodet, MS
Senior Health Statistician
Agency for Healthcare Research and Quality
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