On Mon, Feb 16, 2009 at 10:21 AM, William Simpson <william.a.simp...@gmail.com> wrote: > I have data in a format like this: > > name ssex sex view num rating rt > ahl4 f m f 56 -108 2246 > ahl4 f m f 74 85 1444 > ahl4 f m f 52 151 1595 > ahl4 f m f 85 1 1447 > ahl4 f m f 53 46 1716 > ahl4 f m f 37 145 1276 > ahl4 f m f 50 98 1465 > ahl4 f m f 51 -26 1322 > ahl4 f m f 38 -97 1790 > ahl4 f m f 14 -158 865 > ... > ahl4 f m p 43 -136 1669 > ahl4 f m p 10 -59 808 > ahl4 f m p 67 -111 1279 > ahl4 f m p 85 -86 994 > ahl4 f m p 100 134 1337 > ahl4 f m p 76 56 665 > ahl4 f m p 51 -49 594 > ahl4 f m p 33 -118 505 > ahl4 f m p 49 -156 1283 > ... > and so on for many subjects (name) > > I would like to do a scatterplot of the rating given by each subject > (with identifier "name") for the frontal (view=="f") and profile > (view=="p") views of each face (each face has an identifier "num"). > I'd like to find the correlation as well. > For each subject, since there are 100 faces, there will be 100 points > on the scatterplot. I would just lump all the subjects' data together > for the plot and correlation I think (unless somebody tells me I > should do each subject separately).
You might find the reshape package, http://had.co.nz/reshape, helpful. You could do something like: dfm <- melt(mydataframe, m = c("num", "rating", "rt")) cast(dfm, ... ~ view, subset = variable == "rating") Then do a scatterplot of the variables f and p. Hadley -- http://had.co.nz/ ______________________________________________ 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.
