SummarizeContinuousDefault
                        Summarize a continuous vector with mean
                        plus/minus standard deviation
SummarizeFactorDefault
                        Summarize a factor vector with count and
                        percentages
SummarizeVar            Summarize a vector (continuous or factor)
anchored.gradient       Create a color gradient with a color for zero
auto.layout             Automatically select the layout.
boxcoxR                 Transform data using a boxcox transformation
chisq.post.hoc          Tests for significant differences among all
                        pairs of populations in a chi-square test.
clear                   Clear memory of all objects
colored.table           Create a color-coded table in latex
compute.theta           Calculate inverse tangent.
contents                View the contents (functions) of a package
cor2cov                 Correlation Matrix to Covariance Matrix
                        Conversion
demographics            Summarize a Data Set (Demographics)
densityPlotR            Generate a density plot using a formula
drop.columns            Drop (or keep) all columns containing a vector
                        of strings
ellipse                 Plots an Ellipse
excelCols               Generate Excel column labels
excelMatch              Obtain column number or variable name from
                        Excel named Columns
fakeMedicalData         Fictitious Medical Dataset
get.cols                Extract column index
gradient.legend         Create a gradiented legend
hash                    Create useless hashes
imageInteraction        Plot an two-way quantitative interaction in an
                        image plot
intersperse             Intersperse elements of Two+ Vectors
last.sample             Return only one row per ID
make.formula            Convert strings to a formula
make.null               Drop or keep variables in a dataset
make.symmetric          Force a matrix to be symmetric
missing.vals            Summary of Missing Data
mv.rnorm                Randomly Generate Multivariate Normal Data
number.to.colors        Convert from numbers to colors
par1                    Change default par parameters
par2                    Change default par parameters
plot.rfInterp           Plot rfInterp Summary
plot.rfPred             Plot rfPred Summary
plot.rfThresh           rfThesh Summary
plotSigBars             Add significance bars to a prism plot
print.rfInterp          Print rfInterp Summary
print.rfPred            Print rfPred Summary
print.rfThresh          Print rfThesh Summary
printx                  Change Defaults of print.xtable
prism.plots             Plot prism-like Plots
pval.xtable             Convert p-values into strings with
                        inequalities.
r                       Extract variable column indices
r.crit                  Compute critical r or p.
random.correlation      Generate a random correlation matrix
read.fife               Read in a dataset and load the meta-data for a
                        file
rfInterp                Variable Selection with Random Forest
rfPred                  Variable selection in Random Forest
rfSensitivity           Output accuracy, sensitivity, specificity, NPV,
                        and PPV.
rfThresh                Variable Selection Using Random Forests
rotateGraph             Rotate a graph using polar coordinates
roxtemp                 Generate a Roxygen Template
scaleB                  Standardize coefficients
scaleBreak              Scatterplot with a Scale Break
scaleIt                 Scale a variable
spearman.plot           Spearman plot
stratified              Sample from a 'data.frame' according to a
                        stratification variable
string.to.colors        Convert between strings to colors
subsetString            Extract only part of a string
summary.rfPred          Print a Summary Table of rfPred
unfactor                Convert a factor to a character (or number)
univariate.tests        Extract p values for a data frame
write.fife              Write a dataset and load the meta-data
xtable.rfInterp         Prepare xtable Summary
xtable.rfPred           Prepare xtable Summary
z.test                  Perform a z test
