You may also be interested in the "psych" package or possibly "mvtBinaryEP". I found these using "sos":
library(sos) tc <- findFn('tetrachoric correlation') # 26 matches tcs <- findFn('tetrachoric correlations')#27 matches tc. <- tc|tcs summary(tc.) # 35 links in 5 pkgs tc. All but 3 of the 35 links are to "psych", and 2 of the remaining 3 are to two different copies of "mvtBinaryEP". You might also Google for "tetrachoric correlation". # OR: u <- findFn('uniformly distributed correlated data') # 3 matches Hope this helps. Spencer On 2/19/2011 9:21 PM, Jorge Ivan Velez wrote: > Hi Soren, > > Take a look at http://tolstoy.newcastle.edu.au/R/help/05/07/7741.html > > HTH, > Jorge > > > On Sat, Feb 19, 2011 at 9:17 PM, Søren Faurby<> wrote: > >> I wish to generate a vector of uniformly distributed data with a defined >> correlation to another vector >> >> The only function I have been able to find doing something similar is >> corgen from the library ecodist. >> >> The following code generates data with the desired correlation to the >> vector x but the resulting vector y is normal and not uniform distributed >> >> library(ecodist) >> x<- runif(10^5) >> y<- corgen(x=x, r=.5)$y >> >> Do anyone know a similar function generating uniform distributed data or a >> way of transforming y to the desired distribution while keeping the >> correlation between x and y >> >> Kind regards, Soren >> >> ______________________________________________ >> 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. >> > [[alternative HTML version deleted]] > > > > ______________________________________________ > 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. [[alternative HTML version deleted]]
______________________________________________ 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.