Animals2

0th

Percentile

Brain and Body Weights for 65 Species of Land Animals

A data frame with average brain and body weights for 62 species of land mammals and three others.

Note that this is simply the union of Animals and mammals.

Keywords
datasets
Usage
Animals2
Note

After loading the MASS package, the data set is simply constructed by Animals2 <- local({D <- rbind(Animals, mammals); unique(D[order(D$body,D$brain),])}).

Rousseeuw and Leroy (1987)'s ‘brain’ data is the same as MASS's Animals (with Rat and Brachiosaurus interchanged, see the example below).

Format

body

body weight in kg

brain

brain weight in g

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Forth Edition. Springer.

Aliases
  • Animals2
Examples
# NOT RUN {
data(Animals2)
## Sensible Plot needs doubly logarithmic scale
plot(Animals2, log = "xy")

## Regression example plot:
plotbb <- function(bbdat) {
  d.name <- deparse(substitute(bbdat))
  plot(log(brain) ~ log(body), data = bbdat, main = d.name)
  abline(       lm(log(brain) ~ log(body), data = bbdat))
  abline(MASS::rlm(log(brain) ~ log(body), data = bbdat), col = 2)
  legend("bottomright", leg = c("lm", "rlm"), col=1:2, lwd=1, inset = 1/20)
}
plotbb(bbdat = Animals2)

## The `same' plot for Rousseeuw's subset:
data(Animals, package = "MASS")
brain <- Animals[c(1:24, 26:25, 27:28),]
plotbb(bbdat = brain)

lbrain <- log(brain)
plot(mahalanobis(lbrain, colMeans(lbrain), var(lbrain)),
     main = "Classical Mahalanobis Distances")
mcd <- covMcd(lbrain)
plot(mahalanobis(lbrain,mcd$center,mcd$cov),
     main = "Robust (MCD) Mahalanobis Distances")
# }
Documentation reproduced from package robustbase, version 0.93-5, License: GPL (>= 2)

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