Hi,all friends, Please help me understand this sentence below: “From this set, 858 columns not significantly correlated with the response variable TBG at the 5% level were removed, leaving a set of 390 columns.” and “ the F-test's value for the one-parameter correlation with the descriptor is below 1.0” is equal?? I want to perform this above sentence with R, how can I do? I just try it below. but I do not know right or wrong?
about the above sentence, my idea is like this p.value<0.5, and i write a code to perform it below: xmat4<-xmat3[,apply(xmat3,2,function(.col)!all(var.test(.col,y)$p.value<0.05))] , is right? does the above sentence refer to p.value or F.value? I do not know, please help me! And how can I get the F.value? About this sentence "A further 367 columns with variance below 1.0 kcal/mol were removed as recommended,16 leaving 23 columns." my code below: xmat3<-xmat2[,apply(xmat2,2,function(.col)!all(var(.col)<1))], can I change the var to sd? I have tried it. They have the same result, generally speaking, which one will be used to see the variation of the data? Thank you! kevin -- View this message in context: http://old.nabble.com/p.value---OR---F.value--tp26456379p26456379.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.