BAC                     BAC and Fear-potenitated startle
dfMerge                 Merges two data frames
dfReadDat               Opens a tab-delimited dat file with typical
                        Curtin lab settings
dfRemoveCases           Removes cases from dataframe
dfRownames              Sets rownames to SubID
dfWriteDat              Saves dataframe as tab-delimited text file with
                        typical Curtin lab parameters
figAxis                 Wrapper for standarized use of axis()
figBarPlot              Wrapper for standarized use of barplot2() from
                        gplots
figConfidenceBand       Creates confidence band for regression line
figErrBars              Wrapper for standarized use of error bars
figLabDefaults          Generate list graphing parameters
figLayout               Wrapper for standarized use of layout()
figLegend               Wrapper for standarized use of figLegend()
figLines                Wrapper for standarized use of lines()
figNewDevice            Opens device for graphing
figPlotRegion           Sets up a plot region for later plotting
figPoints               Wrapper for standarized use of points()
figSetDefaults          Saves list of graphing parameters in options
figStripChart           Create strip chart on plot
figText                 Wrapper for standarized use of text()
lmSupport-deprecated    Deprecated Functions in lmSupport Package
modelAssumptions        Assess Linear Model Assumptions
modelBoxCox             Calculates lambda for Box-Cox power
                        transformation
modelCaseAnalysis       Provides graphs and/or tests for problematic
                        cases for a linear model
modelCompare            F-tests for nested models
modelCorrectSE          Calculates White (1980)'s
                        heteroscedascity-corrected SEs and Tests for a
                        linear model
modelEffectSizes        Calculates effect size indices based on Sums of
                        Squares
modelErrors             Returns model errors (residuals) from lm object
modelPower              Calculate power for GLM tests
modelPredictions        Provides predicted values for sample or new
                        data.  New predictions include SEs
modelR2                 Model R2, adjusted R2 and F-test
modelRmd                Returns a formatted string for stats reporting
                        from a model in R Markdown
modelSummary            summary of results for lm model
varContrasts            Set Factor Contrasts
varDescribe             Provides typical descriptive statistics for
                        data frame
varDescribeBy           Provides common desriptives for dataframe by
                        factor(s)
varMarkdown             Returns a formatted string for stats reporting
                        in R Markdown
varOdd                  Tests if Numbers are Odd
varPadString            Pads a string to fixed length
varParse                Returns a subset of digits from a Number
varPlot                 Creates histogram, optional rug/strip and
                        density plots, and generates univariate
                        descriptive statistics
varRecode               Recode levels of variable
varRegressors           Adds actual numeric regressors for factor to
                        dataframe as new variables
varRename               Rename Variable in Dataframe
varReverse              Reverse score an ordinal or boolean scored
                        item/variable
varScore                Creates a total score from a sum of items
