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
