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)