You might try something like
do.can <- candisc(do.mod, data=do)
plot(do.can)
But, in your example there is only one canonical dimension there are
only two levels of the
factor.
In any case, do.can$scores has the scores, so you can try to plot them
however you like.
For a 1-D plot in a case
Dear Michael,
You haven't told us what your data is, and we can only surmise -- not very
helpful for you and annoying for those who try to help.
Apologies, I am brand new to R and this mailing list. Will try to be more
concise.
Here is my data a NEW verion of my data:
Curvature Diameter Qu
Dear Pete,
You haven't told us what your data is, and we can only surmise -- not
very helpful for you and annoying for those who try to help.
Pete Shepard wrote:
Hello,
I have a file with two dependent variables (three and five) and one
independent variable. I do i.mod <- lm(cbind(three, fi
Hello,
I have a file with two dependent variables (three and five) and one
independent variable. I do i.mod <- lm(cbind(three, five) ~ species,
data=i.txt) and get the following output:
Coefficients:
three five
(Intercept) 9.949 9.586
species -1.166 -1.156
I do a" i.ca
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