languageR-package

Data sets and functions for 'Analyzing Linguistic Data'

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

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)

Author(s)

R. H. Baayen

University of Alberta, Edmonton, Canada

harald.baayen@gmail.com

Maintainer: harald.baayen@gmail.com

References

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

Examples

## Not run:

  library(languageR)
  data(package="languageR")
## End(Not run)