Garland(1983) Data on Running Speed of Mammals
Observations on the maximal running speed of mammal species and their body mass.
data(Mammals)
A data frame with 107 observations on the following 4 variables.
Body mass in Kg for "typical adult sizes"
Maximal running speed (fastest sprint velocity on record)
logical variable indicating animals that ambulate by hopping, e.g. kangaroos
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)
Used by Chappell (1989) and Koenker, Ng and Portnoy (1994) to illustrate the fitting of piecewise linear curves.
Garland, T. (1983) The relation between maximal running speed and body mass in terrestrial mammals, J. Zoology, 199, 1557-1570.
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.
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)
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