I've got a data frame having numerical data by zip code:
ZIP DATA 94111 12135.545 93105 321354.65654 94111 545.555 94706 558858.66 ... ... I'm using this function to group records by ZIP and calculate the median of DATA: aggregate(d$DATA, list(Zip = d$ZIP), FUN=median, na.rm=T) but what I really want to do is to calculate several statistics (median, mean, etc.) for each group of records, so that I'll get a result organized like: Zip median(DATA) mean(DATA) 94706 565 555 94111 59585 66666 93105 595685 5555666 ... I tried using FUN=funstofun(median,mean), but found that doesn't work in aggregate. Is there a straightforward way to do what I'm after (I'm pretty new to R)? thanks _________________________________________________________________ Change the world with e-mail. Join the i’m Initiative from Microsoft. ld ______________________________________________ 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.
