On Fri, 15 Aug 2008, Linda Zientek wrote:
Hello,
In SPSS, a multiple regression can be conducted by inputting the means, standard deviations, sample size, and correlation matrix without actually using the raw dataset. Is it possible to do the same in R?
Yes, it is possible, up to a point (you can find coefficients but not residuals, for example).
Perhaps the easiest way is to fake some data: convert the correlation matrix to a covariance matrix and use MASS::mvrnorm(empirical=TRUE)
You could also write a function to do it. It is a very rare request, and I am not aware of it having already been done.
Thanks in advance for your assistance.
Linda
-- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
