| gamair-package {gamair} | R Documentation |
This package contains the data sets used in the book
Generalized Additive Models: An Introduction with R, which covers linear and
generalized linear models, GAMs as implemented in package mgcv and
mixed model extensions of these.
Each dataset has its own help page, which describes the dataset, and
gives the original source and associated references. All datasets have been
reformatted into standard R data frames. Some smaller datasets from the book
have not been included. Datasets from other R packages have not been
included, with the exception of a distillation of one set from the
NMMAPSdata package.
Index:
bird Bird distribution data from Portugal
blowfly Nicholson's Blowfly data
brain Brain scan data
cairo Daily temperature data for Cairo
chicago Chicago air pollution and death rate data
chl Chlorophyll data
co2s Atmospheric CO2 at South Pole
coast European coastline from -11 to 0 East and from
43 to 59 North.
engine Engine wear versus size data
gamair Generalized Additive Models: An Introduction
With R
harrier Hen Harriers Eating Grouse
hubble Hubble Space Telescope Data
ipo Initial Public Offering Data
mack Egg data from 1992 mackerel survey
mackp Prediction grid data for 1992 mackerel egg
model
sole Sole Eggs in the Bristol Channel
sperm.comp1 Sperm competition data I
sperm.comp2 Sperm competition data II
wine Bordeaux Wines
Simon Wood <simon@r-project.org>
Maintainer: Simon Wood <simon@r-project.org>
Wood, S.N. (2006) Generalized Additive Models: An Introduction with R, CRC
library(help=gamair)