Dear Jake, An easy way to find the value of one variable by different levels of another is using by(). For example, turning to the good old mtcars data again:
> by(mtcars$mpg, factor(mtcars$cyl), mean) factor(mtcars$cyl): 4 [1] 26.66364 ------------------------------------------------------------ factor(mtcars$cyl): 6 [1] 19.74286 ------------------------------------------------------------ factor(mtcars$cyl): 8 [1] 15.1 Which can be easily expanded: # You can look at the output on your own by(mtcars$mpg, INDICES = list(factor(mtcars$cyl), factor(mtcars$am)), mean) In short, the first argument is the data, the second argument is a list of the variables by which to calculate, the third argument, which is some function. In this case, the mean. Is this what you wanted, or did you want something specifically from the ANOVA model? Cheers, Josh On Wed, Oct 6, 2010 at 1:41 PM, Jake Kami <jakejk...@gmail.com> wrote: > dear list, > > is there any function in R with which i can compute subject-wise means for a > single factor level? for instance, i wanna have the mean for each subject > for the first level of factor A, how can i get that? is there a > straightforward way to solve this problem? > > > kind regards > > jake > > [[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. > -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles http://www.joshuawiley.com/ ______________________________________________ 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.
