Probably I put it too complicated. I just try to draw 10 points on a plot. Each point stand for one variable. If two variables are highly correlated, the corresponding dots are to be drawn closer. Say, variable X1, X2, X3, are highly correlated among them, so they will be clustered; variables X4, X5, X6 are not much correlated with X1,X2, X3, so X4-X5 are drawn far away from X1-X3.
In addition, if corr(X1, X2) > corr(X2,X3), the plot can show distance(X1, X2) < distance(X2, x3). Do you know if R has such a package? Or I may use some plot function from cluster analysis? Thank you! Weijian -- View this message in context: http://r.789695.n4.nabble.com/How-to-measure-correlations-in-terms-of-distance-and-draw-them-on-a-2-dimmentional-plot-tp2330413p2330442.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
