languageR1.5.0 package

Analyzing Linguistic Data: A Practical Introduction to Statistics

Autocorrelation trellis graph

Compute p-values for factors in mixed models

Calculate condition number with intercept included

Compare Lexical Richness of Two Texts

Class "corres"

Correspondence Analysis

Initialize correspondence object

Supplementary rows or columns in correspondence analysis

Extract degree of polynomial or knots for restricted cubic spline

Extracts knots from variable name

calculate HPD prediction intervals

determine position for labels for interaction plots

Extracts range of predicted values from list of data frames

extract simple name of predictor from expression with poly

Class "growth"

Calculate vocabulary growth curve and vocabulary richness measures

Conversion of growth object into a vgc object

Initialize a vocabulary growth object.

Returns first rows of a growth object.

Herdan's C

implement interactions in the model matrix

Function for by-item regression used by simulateRegression.fnc

By-item anova for simulated data for quasi-F analysis

Calculate vector at specified lag

Data sets and functions for 'Analyzing Linguistic Data'

Plot the interaction of two linear numeric predictors in a model fitte...

Make a simulated data set with regression design

Create model matrix with main effects only

generate simulated data set with nonlinear function

Scatterplot of bivariate standard normal distribution

Scatterplot matrix with correlations

parse character string specifying restricted cubic spline

Plot method for correspondence objects

Plot method for growth objects

Plot for goodness of fit of logistic regression

create plot or plots for list with data frames for plot or subplots

plot a mer object

determine X and Y values for a given (sub)plot

Print method for correspondence object

Print method for growth objects.

Compute p-values and MCMC confidence intervals for mixed models

Quasi-F test

Quasi-F test for specific simple design

Shade rejection region for normal probability density function

Plot method for growth objects.

Simulate simple Latin Square data and compare models

Simulate data for quasi-F analysis and compare models

Simulate regression data and compare models

Frequency spectrum from text vector

By-subject analysis of simple Latin Square data sets

By-subject analysis of data sets requiring quasi-F ratios

Summarize a correspondence object

Summary method for growth objects

Show last rows of growth object.

Create a frequency spectrum from a text vector

transform vector according to specified function

Trellis scatterplot with smoothers

Yule's characteristic constant K

Zipf's rank frequency distribution

Data sets exemplifying statistical methods, and some facilitatory utility functions used in ``Analyzing Linguistic Data: A practical introduction to statistics using R'', Cambridge University Press, 2008.

Maintainer: R. H. Baayen License: GPL (>= 2) Last published: 2019-01-30