A simple dataset containing 17 (mostly logical) variables on 101 animals.
Ask the original donor of the data why girl is an animal.
A data frame with 17 columns: hair, feathers, eggs, milk,
airborne, aquatic, predator, toothed, backbone, breathes, venomous,
fins, legs, tail, domestic, catsize, type. Most variables are logical and indicate whether the corresponding
animal has the corresponsing characteristic or not. The only 2
values 0, 2, 4, 5, 6, and 8.
type is a grouping of the animals
into 7 groups, see the example section for the detailed list.
The original data have been donated by Richard S. Forsyth to the UCI Repository Of Machine Learning Databases at
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
data(Zoo) summary(Zoo) ## see the annimals grouped by type tapply(rownames(Zoo), Zoo$type, function(x) x) ## which animals have fins? rownames(Zoo)[Zoo$fins]