Mammals

0th

Percentile

Garland(1983) Data on Running Speed of Mammals

Observations on the maximal running speed of mammal species and their body mass.

Keywords
datasets
Usage
data(Mammals)
Details

Used by Chappell (1989) and Koenker, Ng and Portnoy (1994) to illustrate the fitting of piecewise linear curves.

Format

A data frame with 107 observations on the following 4 variables.

weight

Body mass in Kg for "typical adult sizes"

speed

Maximal running speed (fastest sprint velocity on record)

hoppers

logical variable indicating animals that ambulate by hopping, e.g. kangaroos

specials

logical variable indicating special animals with "lifestyles in which speed does not figure as an important factor": Hippopotamus, raccoon (Procyon), badger (Meles), coati (Nasua), skunk (Mephitis), man (Homo), porcupine (Erithizon), oppossum (didelphis), and sloth (Bradypus)

References

Koenker, R., P. Ng and S. Portnoy, (1994) Quantile Smoothing Splines'' Biometrika, 81, 673-680.

Chappell, R. (1989) Fitting Bent Lines to Data, with Applications ot Allometry, J. Theo. Biology, 138, 235-256.

See Also

rqss

Aliases
  • Mammals
Examples
# NOT RUN {
data(Mammals)
attach(Mammals)
x <- log(weight)
y <- log(speed)
plot(x,y, xlab="Weight in log(Kg)", ylab="Speed in log(Km/hour)",type="n")
points(x[hoppers],y[hoppers],pch = "h", col="red")
points(x[specials],y[specials],pch = "s", col="blue")
others <- (!hoppers & !specials)
points(x[others],y[others], col="black",cex = .75)
fit <- rqss(y ~ qss(x, lambda = 1),tau = .9)
plot(fit)
# }
Documentation reproduced from package quantreg, version 5.54, License: GPL (>= 2)

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