carnivora                 package:ape                  R Documentation

Carnivora body sizes and life history traits

Description:

     Dataset adapted from Gittleman (1986), including 2 morphological
     variables (body and brain sizes), 8 life history traits variables
     and 4 taxonomic variables.

Usage:

     data(carnivora)

Format:

     A data frame with 112 observations on 17 variables.

        [,1]  Order        factor   Carnivora order
        [,2]  SuperFamily  factor   Super family (Caniformia or Feliformia)
        [,3]  Family       factor   Carnivora family
        [,4]  Genus        factor   Carnivora genus
        [,5]  Species      factor   Carnivora species
        [,6]  FW           numeric  Female body weight (kg)
        [,7]  SW           numeric  Average body weight of adult male and adult female (kg)
        [,8]  FB           numeric  Female brain weight (g)
        [,9]  SB           numeric  Average brain weight of adult male and adult female (g)
       [,10]  LS           numeric  Litter size
       [,11]  GL           numeric  Gestation length (days)
       [,12]  BW           numeric  Birth weigth (g)
       [,13]  WA           numeric  Weaning age (days)
       [,14]  AI           numeric  Age of independance (days)
       [,15]  LY           numeric  Longevity (months)
       [,16]  AM           numeric  Age of sexual maturity (days)
       [,17]  IB           numeric  Inter-birth interval (months)

Source:

     Gittleman, J. L. (1986) Carnivore life history patterns:
     allometric, phylogenetic and ecological associations. _American
     Naturalist_, *127*: 744-771.

Examples:

       data(carnivora);
       # This is figure 1 of Gittleman 1986:
       library(lattice)
       trellis.device(color=FALSE)
       xyplot(BW ~ FW, groups=Family, data=carnivora, auto.key=TRUE, xlog=TRUE,
           scale=list(log=TRUE), ylim=c(1, 2000))
       trellis.device(color=FALSE)
       xyplot(BW ~ FB, groups=Family, data=carnivora, auto.key=TRUE, xlog=TRUE,
           scale=list(log=TRUE), ylim=c(1, 2000))