Alligator | R Documentation |
The Alligator data, from Agresti (2002), comes from a study of the primary food choices of alligators in four Florida lakes. Researchers classified the stomach contents of 219 captured alligators into five categories: Fish (the most common primary food choice), Invertebrate (snails, insects, crayfish, etc.), Reptile (turtles, alligators), Bird, and Other (amphibians, plants, household pets, stones, and other debris).
data(Alligator)
A frequency data frame with 80 observations on the following 5 variables.
lake
a factor with levels George
Hancock
Oklawaha
Trafford
sex
a factor with levels female
male
size
alligator size, a factor with levels large
(>2.3m) small
(<=2.3m)
food
primary food choice, a factor with levels bird
fish
invert
other
reptile
count
cell frequency, a numeric vector
The table contains a fair number of 0 counts.
food
is the response variable. fish
is the most frequent choice, and often
taken as a baseline category in multinomial response models.
Agresti, A. (2002). Categorical Data Analysis, New York: Wiley, 2nd Ed., Table 7.1
data(Alligator)
# change from frequency data.frame to table
allitable <- xtabs(count ~ lake + sex + size + food, data=Alligator)
# Agresti's Table 7.1
structable(food ~ lake + sex + size, allitable)
plot(allitable, shade=TRUE)
# mutual independence model
mosaic(~ food + lake + size, allitable, shade=TRUE)
# food jointly independent of lake and size
mosaic(~ food + lake + size, allitable, shade=TRUE,
expected = ~lake:size + food)
if (require(nnet)) {
# multinomial logit model
mod1 <- multinom(food ~ lake + size + sex, data=Alligator, weights=count)
}
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