William Simpson 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).
I'm stumped on how to do this. Thanks very much for any help!
Hi Bill,
The first thing that comes to mind is a variation on count.overplot, a
function that displays the number of overplotted points for a given
tolerance rather than a blur of separate symbols. The problem would be
separating the various categories of experimental stimuli in your case.
You could use, say, "F" and "P" as suffixes for the counts to indicate
orientation, color to indicate sex of face, male/female symbol for sex
of respondent, and so on. The problem is that you end up with a
difficult to interpret plot, as each entry (of which there will still be
many) must be decoded by the viewer. If you think this is worth
pursuing, email me and I will try to outline a way to do it.
Another, perhaps simpler way is to define a summary score for each
subject for each class of face and plot that.
Jim
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