Hi, I am a novice with R, so pardon me if the question is a piece of cake to some of you.
Say if I have a stream of data consisting of 3 columns, 1st column is birth date, 2nd is death date and third is weight for each individual. My ultimate goal is to be able to compute the correlation of weight between any combination of two death dates, grouped by birth dates. In order to do this, my plan is to be able to use a loop of some sorts to split the data into n vectors, each vector consists of all birth dates and weight for people who are dead on the same death date. Then figure out the standard deviation and covariance of each of the combination of the vectors, figure out the correlation and finally bind them into a matrix (or at least a 3 column table: death date1, death date 2, correlation). The only problem is I know how to implement this in SQL/Excel but not in R. Could someone please offer me some guidance on this? Thanks a lot! ______________________________________________ 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.