Try e.g. function recode from package car. 2009/9/22 Chris Hane <christopher.a.h...@gmail.com>: > Hello R-users, > I have a data frame with a factor of ages in 5 year increments, and various > count data for each age group. I only have this summary information in R at > the moment. > > I want to create a new factor that aggregates the age factors if the > existing factors have insufficient counts. Then I can use aggregate to > build a new data set. > > I figured out I can get the cut values I want using cut2 from Hmisc > >>count > [1] 10 20 20 50 50 50 50 50 50 50 50 50 50 50 10 20 20 >>age_bucket <- seq (0,80,5) >>age_f <- factor(age_bucket) >> age_f > [1] 0 10 15 20 25 30 35 40 45 5 50 55 60 65 70 75 80 > Levels: 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 > ct <- rep(age_bucket, count) > cut50 <- cut2(ct,m=50) > levels(cut50) > [1] "[ 0,15)" "15" "20" "25" "30" "35" "40" > "45" "[50,75]" > > Now I want to map age_f levels 1, 2 and 3 to cut50 level 1 on the data frame > of count and age_bucket. > > Thanks in advance, > Chris > > [[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. >
______________________________________________ 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.
