Hi, Currently I have a dataset of 2400*408. And I would like to apply PCR method to study the any correlation between the tests. My current data is in data.frame and I have formed horizontal(1-407) to be the exact data, and (408) to be my results data(Yes and No) I have also binarized these Yes and No to 1 and -1s.
However, when I refer to PCR manual on R, the example of yarn.pcr <- pcr(density ~ NIR, 6, data = yarn, validation = "CV"), I am not sure how can I adapt the command based line to my sample dataset. It seems that they label each horizontal (columns) as NIR and followed by Density (which is my results data). My doubt is do I have to label these data at the first place? If not, what variables/command that I should put in place of density? cancerv1.pcr<-pcr(cancerv1[,1-407],6,data=cancerv1,validation="CV")? Please advise. Thanks. [[alternative HTML version deleted]] ______________________________________________ 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.