languageR-package {languageR} | R Documentation |
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.
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'. The following packages should be
installed:
Design
- for regression modeling
rpart
- for CART trees
e1071
- for support vector machines
lme4
- for mixed-effects models
coda
- for Markov-Chain Monte Carlo estimation
MASS
- for many useful functions
zipfR
- for word frequency distributions
ape
- for phylogenetic clustering
The main convenience functions in this library are, by category:
- correspondence analysis
- (extending code by Murtagh)
corres.fnc
- correspondence analysis
corsup.fnc
- supplementary data
- vocabulary richness
- (supplementing current zipfR functionality)
compare.richness.fnc
- for two texts, compare richness
growth.fnc
- empirical vocabulary growth data for text
growth2vgc
- conversion to vgc object of zipfR
spectrum.fnc
- creates frequency spectrum
text2spc.fnc
- conversion to spc object of zipfR
- lmer functions
- (p-values for mixed-effects models with lme4)
pvals.fnc
- p-values for table of coefficients including
MCMC
aovlmer.fnc
- p-values for anova tables and/or MCMC
p-value for specified factor
- simulation functions
- (for comparing mixed models with traditional techniques including F1, F2, and F1+F2)
simulateRegression.fnc
- simulate simple regression design
simulateSplitPlot.fnc
- simulate simple split-plot design
simulateLatinsquare.fnc
- simulating simple Latin-square design
- miscellaneous
- (convenience functions)
pairscor.fnc
- scatterplot matrix with correlation tests
collin.fnc
- collinearity diagnostics
pvals.fnc
- p-values and MCMC confidence intervals for mixed models
plot.logistic.fit.fnc
- diagnostic visualization for logistic models
xylowess.fnc
- trellis scatterplots with smoother
mvrnormplot.fnc
- scatterplot for bivariate standard normal random numbers with regression line
Author(s)
R. H. Baayen
Radboud University Nijmegen and Max Planck Institute for Psycholinguistics
Nijmegen, The Netherlands
baayen@mpi.nl
Maintainer: baayen@mpi.nl
References
R. H. Baayen (2007) Analyzing Linguistic Data: A practical introduction
to statistics, Cambridge: Cambridge University Press.
Examples
library(languageR)
data(package="languageR")
[Package
languageR version 0.1
Index]