Try this: ## Dataset mydata <- data.frame(x=sample(1:8,10,replace=T),y=sample(1:9,10,replace=T), var1=rnorm(10),var2=rnorm(10)) ## Put x and y in bins xcut <- cut(mydata$x,seq(0,8,2)) ycut <- cut(mydata$y,seq(0,9,3)) ## Create table tapply(mydata$var1,list(ycut,xcut),mean)
- Norma On 5/16/07, Norbert <[EMAIL PROTECTED]> wrote: > hi dear R users, > I'm a newbie with R and excuse me if my question is stupid ... but i've > read lot of documentation and I don't know how to do. > > I have a dataset like > > x y var1 var2 > 2 4 10 50 > 3 3 20 70 > 3 2 50 68 > 4 5 34 42 > 5 3 10 23 > 7 8 23 42 > 7 3 23 34 > [...] > > And I need to produce grids like : > y\x ]0-2] ]2-4] ]4-6] ]6-8] > ]0-3] > ]3-6] means of corresponding values for var1 (or var2) > ]6-9] > > > but I don't find any example .... > > > in advance, lot of thanks for your help > > js > > > > > _____________________________________________________________________________ > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch 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.
