| 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.
groupar:f ar:m rm:f rm:m,
comprising the combinations of location and sexlocationar=Artic, rm=Rocky Mountainsexf=female, m=malex1x2x3x4x5x6x7x8x9All 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)