languageR (version 1.6)

languageR-package: Data sets and functions for 'Analyzing Linguistic Data'

Description

Data sets and functions accompanying 'Analyzing Linguistic Data: A practical introduction to statistics', Cambridge University Press, 2007.

Author

R. H. Baayen

University of Alberta, Edmonton, Canada

Maintainer: [e-mail]

Details

Package:	languageR
Type:	Package
Version:	1.0
Date:	2007-01-15
License:	GNU public license

The main function of this package is to make available the data sets discussed and analyzed in 'Analyzing Linguistic Data: A practical introduction to statistics using R', to appear with Cambridge University Press. The following packages should be installed, as ancillary functions in this package depend on them.

zipfR

for word frequency distributions

lme4

for mixed-effects models

coda

for Markov-Chain Monte Carlo estimation

lattice

for trellis graphics

Matrix

for mixed-effects modeling

The following packages need to be installed for working through specific examples.

rms

for regression modeling

rpart

for CART trees

e1071

for support vector machines

MASS

for many useful functions

ape

for phylogenetic clustering

The main convenience functions in this library are, by category:

correspondence analysis

(extending code by Murtagh, 2005)

vocabulary richness

(supplementing current zipfR functionality)

lmer functions

(p-values for mixed-effects models with lme4)

simulation functions

(for comparing mixed models with traditional techniques including F1, F2, and F1+F2)

miscellaneous

(convenience functions)

References

R. H. Baayen (2007) Analyzing Linguistic Data: A practical introduction to statistics using R, Cambridge: Cambridge University Press.

Examples

if (FALSE) {
  library(languageR)
  data(package="languageR")
}