Support for Linear Models

Documentation for package ‘lmSupport’ version 1.05

lm.boxCox	Calculates lambda for Box-Cox power transformation
lm.caseAnalysis	Provides graphs and/or tests for problematic cases for a linear model
lm.clearAll	Clear workspace, screen/console, and close all graphic devices
lm.codeRegressors	Adds mechanical regressors for factor to dataframe as variables
lm.correctSE	Calculates White (1980)'s heteroscedascity-corrected SEs and Tests for a linear model
lm.deltaR2	F-tests for model R2s and delta R2
lm.describeData	Provides typical descriptive statistics for data frame
lm.describeGroups	Provides common desriptives for single DV by factor(s)
lm.figSum	Creates histogram, optional rug and density plots, and generates univariate descriptive statistics
lm.mergeData	Merges two data frames
lm.mixedBar	Creates bar graph for mixed model design
lm.mixedMeans	Creates estimated mean and SE matrices from list of lm models
lm.modelAssumptions	Assess Linear Model Assumptions
lm.pointEstimates	Provides point estimates and SEs from linear model
lm.readDat	Opens a tab-delimited dat file with typical Curtin lab settings
lm.removeCases	Removes cases from dataframe
lm.renameVar	Rename Variable in Dataframe
lm.setContrasts	Set Factor Contrasts
lm.setRownames	Sets rownames to SubID
lm.sumSquares	Calculates descriptive statistics based on Sums of Squares
lm.writeDat	Saves dataframe as tab-delimited text file with typical Curtin lab parameters