Sorry, but I don't understand your question. When I first looked at this, I thought it was a correlation (or covariance) matrix. e.g.
> cor (quakes) > cov (quakes) However, your row and column variables are different, implying two different data sets. Also, some of the (correlation?) coefficients are the same, implying that some of the variables are the same, or very close. Also, note that a matrix is not a data.frame. > I have a data frame like this (a matrix): > head(calc.rho) > rs9900318 rs8069906 rs9908521 rs9908336 rs9908870 rs9895995 > rs56192520 0.903 0.268 0.327 0.327 0.327 0.582 > rs3764410 0.928 0.276 0.336 0.336 0.336 0.598 > rs145984817 0.975 0.309 0.371 0.371 0.371 0.638 > rs1807401 0.975 0.309 0.371 0.371 0.371 0.638 > rs1807402 0.975 0.309 0.371 0.371 0.371 0.638 > rs35350506 0.975 0.309 0.371 0.371 0.371 0.638 > > dim(calc.rho) > [1] 246 246 > I would like to remove from this data all highly correlated variables, > with correlation more than 0.8 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
