[R] How can I remove one of variables which both variables have correlation coefficient more than 0.95 randomly?
dluthm at yeah.net
Fri Nov 20 18:25:03 CET 2009
I have a 72*495 matrix, and the first column is the response, and the
remaining are independences. Final I want to select some independence to fit
y, but there are so many independences, the fit result is not meaning, so I
want to reduce the independece,now. Which method or R package or algorithms
in R package can deal with this problem?
next question, firstly, I want to check the pair correlation coeficient,and
want to remove one of variables which both variables have correlation
coefficient more than 0.95 randomly? NOTE, This is random. Before I write a
programe that can delete correlation variable onlly the first variable, It
is not scientific.so I hope all friends can help me write a programe to,
randomly,remove one of variables which both variables have correlation
coefficient more than 0.95 ? At last, I use those selected variables to fit
y, and hope the regression result is beter with correlation coefficient (r2)
more than 0.7 at less.
for(i in 1:(dim.cor-1))
for(j in (i+1):(dim.cor))
} this is my code,but it is not scientific like I said above.
And I upload my file. Hoping all friends can help me.
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