Wolves {candisc} | R Documentation |
Skull morphometric data on Rocky Mountain and Arctic wolves (Canis Lupus L.) taken from Morrison (1990), originally from Jolicoeur (1959).
data(Wolves)
A data frame with 25 observations on the following 11 variables.
group
ar:f
ar:m
rm:f
rm:m
,
comprising the combinations of location
and sex
location
ar
=Artic, rm
=Rocky Mountainsex
f
=female, m
=malex1
x2
x3
x4
x5
x6
x7
x8
x9
All variables are expressed in millimeters.
The goal was to determine how geographic and sex differences among the wolf
populations are determined by these skull measurements.
For MANOVA or (canonical) discriminant analysis, the factors group
or location
and sex
provide alternative
parameterizations.
Morrison, D. F. Multivariate Statistical Methods, (3rd ed.), 1990. New York: McGraw-Hill, p. 288-289.
Jolicoeur, P. ``Multivariate geographical variation in the wolf Canis lupis L.'', Evolution, XIII, 283–299.
data(Wolves) # using group wolf.mod <-lm(cbind(x1,x2,x3,x4,x5,x6,x7,x8,x9)~group, data=Wolves) Anova(wolf.mod) (wolf.can <-candisc(wolf.mod)) plot(wolf.can) heplot(wolf.can) # using location, sex wolf.mod2 <-lm(cbind(x1,x2,x3,x4,x5,x6,x7,x8,x9)~location*sex, data=Wolves) Anova(wolf.mod2) (wolf.can2 <-candiscList(wolf.mod2)) plot(wolf.can2)