Description Format Source See Also Examples
This data set was used by Garland \& Janis in their analysis of metatarsal/femur ration and running speed in cursorial mammals. The data refer to several ecomorphological characteristics for a set of 49 mammals (18 carnivores and 29 ungulates).
This data frame contains the following columns:
the code for each species
log 10 of body mass in kilograms
log 10 running or sprint speed in km/h
log 10 hind limb length —sum of femur, tibia, and metatarsal lengths—in cm
metatarsal/femur ratio
a factor with levels Carnivore
or Herbivore
Garland, T. Jr., and Janis, C. M. (1993). Does metatarsal/femur ratio predict maximal running speed in cursorial mammals? J. Zoology, London, 229, 133–151.
GarlandJanis.IC
, GarlandJanis.varcov
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ## What do the data look like
head(GarlandJanis.Original)
head(GarlandJanis.varcov)
## An example of a GLS fit
fit.gls.GJ <- with(GarlandJanis.Original,
phylog.gls.fit(cbind(body.mass,hind.l.length),
running.speed, GarlandJanis.varcov)
)
summary(fit.gls.GJ) # summary of the gls model; same as with IC
## Not run:
# This data set can be prepared from the original pdi files
# (in directory Examples) as:
GarlandJanis.Orig <- read.pdi.data(c("49ms.pdi","49hmt.pdi"),
variable.names = c("body.mass", "running.speed",
"hind.l.length","mtf.ratio"))
Garland.Janis.Orig$clade <- as.factor(c(rep("Carnivore",19),
rep("Herbivore",30)))
## End(Not run)
|
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