wolves | R Documentation |
A data set containing skull morphometric measurements on Rocky Mountain and Arctic wolves (Canis Lupus L.). The tdata are published in Morrison (1990), originally from Jolicoeur (1959).
data(wolves)
A data frame with 25 rows and 12 variables. The variables are as follows (all measurements are in milimeters):
class
: a factor presenting the combinations of location
and sex
. The levels are arf
arm
rmf
and rmm
location
: a factor with levels ar
=Arctic, rm
=Rocky Mountain
sex
: a factor with levels f
=female, m
=male
x1
: palatal length
x2
: postpalatal length
x3
: zygomatic width
x4
: palatal width outside first upper molars
x5
: palatal width inside second upper molars
x6
: postglenoid foramina width
x7
: interorbital width
x8
: braincase width
x9
: crown length
Jolicoeur, P. Multivariate geographical variation in the wolf Canis lupis L., Evolution, XIII, 283–299.
Morrison, D. F. Multivariate Statistical Methods, (3rd ed.), 1990. New York: McGraw-Hill, p. 288–289.
data(wolves)
## Remove the factors location and sex which we will not use for now
x <- wolves[,-c(2:3)]
## Plot a pairwise scaterplot matrix
pairs(x[,2:10])
mcd <- CovMcd(x[, 2:10])
plot(mcd, which="pairs")
lda <- LdaClassic(class~., data=x)
lda@center
lda@cov
predict(lda)
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