R-helpers, Thanks in advance for your help. I am an R newbie and I am having trouble figuring out the easiest/most efficient way to assign classes to columns in a newly created data frame. R seems to want to convert everything to a factor when I use the cbind function to compile vectors into a data frame.
ID<-seq(1,10,1) TREAT<-c(rep("B",5),rep("G",5)) T1<-rnorm(10,50,10) T2<-rnorm(10,15,10) data<-as.data.frame(cbind(ID,TREAT,T1,T2)) data ID TREAT T1 T2 1 1 B 41.506987139726 20.0964019326073 2 2 B 53.7814271299636 4.9049787919397 3 3 B 54.118333111305 18.2182330777312 4 4 B 48.8591282265369 12.4561774992591 5 5 B 32.3160291908524 23.6665858869752 6 6 G 52.3181626145907 -4.60173207209386 7 7 G 53.4170845444393 2.30744010208809 8 8 G 60.4200675102018 10.9954680147326 9 9 G 42.6264529901835 9.22980548637643 10 10 G 40.2748346897501 14.2458580129253 sapply(data,class) ID TREAT T1 T2 "factor" "factor" "factor" "factor" The only way I can find to get around this is to use stringsAsFactors=FALSE and then assign classes to each of the columns individually. data<-as.data.frame(cbind(ID,TREAT,T1,T2), stringsAsFactors=F) data$ID<-as.factor(data$ID) data$TREAT<-as.factor(data$TREAT) data$T1<-as.numeric(data$T1) data$T2<-as.numeric(data$T2) sapply(data,class) ID TREAT T1 T2 "factor" "factor" "numeric" "numeric" Is there a more efficient way to do the same thing. Thanks for your help. -- View this message in context: http://www.nabble.com/assign-column-classes-when-creating-a-data-frame-from-several-vectors-tp15174042p15174042.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.