Measuring Association and Testing Independence Efficiently

Documentation for package ‘matie’ version 1.2

matie-package	Measuring Association and Testing Independence Efficiently
agram	Scattergram visualization of associations between all pairs of variables.
amap	Heatmap and dendrogram from associations between all pairs of variables.
baseballData	Baseball player performance and income dataset
fbvs	Forwards, backwards variable selection, picking variables to maximize explained variance.
fdg	Force directed graph visualization of associations between all pairs of variables.
ma	Measure association
ma.nl	Calculates degree of nonlinearity for a particular association score.
ma.test	p-value for an association score.
matie	Measuring Association and Testing Independence Efficiently
pd	Plot density (after an 'ma' calculation).
rwt	Rank with ties
sbd	Generates sample bivariate data.
shpd	Generates sample hyperplane data.
spa	Semi-partial association (computes association while controlling for variables)
std	Generates sample trivariate data set.
tap	Test all pairs (computes association score for all pairs of variables).