http://old.nabble.com/file/p26443595/Edragonr.txt Edragonr.txt HI all,
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. n<-0 for(i in 1:(dim.cor[1]-1)) { for(j in (i+1):(dim.cor[2])) { if (mat3.cor[i,j]>=0.90) { mat3<-mat3[,-(i-n)] n<-n+1 break } } } this is my code,but it is not scientific like I said above. And I upload my file. Hoping all friends can help me. -- View this message in context: http://old.nabble.com/How-can-I-remove-one-of-variables-which-both-variables-have-correlation-coefficient-more-than-0.95-randomly--tp26443595p26443595.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.