| 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 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.
Design- 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)
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
simulateQuasif.fnc- simulate data for Quasi-F ratios
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
lmerPlotInt.fnc- offers choice of four ways to visualize an interaction between two numeric predictors in an lmer model
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)
[Package
languageR version 0.953
Index]