Hi all, I have a dataframe that includes data on individuals that are distributed across multiple rows. I have aggregated the data using ddply, but I have columns in the original data frame that are factors ( such as sites "A", "B", and "C") that I would like to include in the new data frame. I have done this in a clunky way using match() and a loop, but am wondering if there is a more elegant approach. Here is an example data set.
#Example a<-c(rep(1:5,6)); b<-sort(b) b<-c(rep("A",10),rep("B",10),rep("C",10)) a<-c(rep(1:5,6)); b<-sort(b) d<-c(2008,2008,2009,2009,2010,2010);d<-rep(d,5) e<-rnorm(30,2,1) df<-data.frame(a,b,d,e) ; names(df)<-c("ind","site","year","height") I created a new factor using ind and year, and would basically like to include site in the new dataframe. Does anyone know how this could easily be done? Thanks in advance. [[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.