Hi there, Is there any way to find out high correlated variables among a big matrix? for example I have a matrix called data= 2000*5000 and I need to find the high correlated variables between the variables in the columns! (Need 100 high correlated variables from 5000 variables in column)
I could calculate the correlation matrix and pick the high correlated ones but my problem is, I just can pick pairs of variables with high correlation and may be we have low correlation across the pairs! Means, in my 100*100 correlation matrix, there are some pairs with low correlation and I couldn't find the 100 variables which they all have high correlation together!!! Would you please ley me know if there is any way? Thanks [[alternative HTML version deleted]] ______________________________________________ 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.