I think "associated statistics" means p-levels. This post http://finzi.psych.upenn.edu/R/Rhelp01/archive/5380.html tells how to do it and gives and example.
But I think that nobody wants to make a function for this because it would encourage bad behavior, i.e., snooping through a correlation matrix looking for "significant" correlations and then making up a story about how the 5% of them that were significant at p<.05 were really planned tests. Jon On 07/03/05 08:12, Douglas Bates wrote: On 7/3/05, Nuno Soares <[EMAIL PROTECTED]> wrote: > Hi everyone, > > I've been trying to find a function that outputs the Pearson and/or Spearman > correlation coefficients for several variables with the associated > statistics in one single table/matrix. For what I've been able to understand > the Stats package is only able to compute these coeficients/statistics only > in defined pairs. This becomes time consuming when we want to determine > these measures with, say, 10 variables or more. Does anyone knows a solution > to this? I believe that the cor function already does what you want. Check ?cor and example(cor) If the first argument to cor is a matrix, it returns the correlation matrix of all the columns. ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Jonathan Baron, Professor of Psychology, University of Pennsylvania Home page: http://www.sas.upenn.edu/~baron R search page: http://finzi.psych.upenn.edu/ ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
