anes04                  Demographic Data From 2004 American National
                        Election Studies (ANES)
coeffer                 Extract model coefficients with standard errors
                        and significance stars
dummify                 Separate a factor into separate dummy variables
                        for each level.
findn                   Summarize key model information including
                        sample size and fit statistics
nalevs                  Recode variables to 0-1 scale
onetable                Create a clean regression summary table from
                        one or more models
plotwtdinteraction      Functions to Identify and Plot Predicted
                        Probabilities As Well As Two- and Three-Way
                        Interactions From Regressions With or Without
                        Weights and Standard Errors
rd                      Round Numbers To Text With No Leading Zero
starmaker               Produce stars from p values for tables.
stdz                    Standardizes any numerical vector, with
                        weights.
wpct                    Provides a weighted table of percentages for
                        any variable.
wtd.anova               Weighted one-way ANOVA
wtd.barplot             Weighted barplot
wtd.boxplot             Weighted boxplot
wtd.chi.sq              Produces weighted chi-squared tests.
wtd.cor                 Produces weighted correlations with standard
                        errors and significance. For a faster version
                        without standard errors and p values, use the
                        'wtd.cors' function.
wtd.cors                Produces weighted correlations quickly using C.
wtd.cov                 Produces weighted covariances with standard
                        errors and significance.
wtd.hist                Weighted Histograms
wtd.median              Weighted median
wtd.partial.cor         Computes weighted partial correlations,
                        controlling for covariates
wtd.partial.cov         Computes weighted partial covariances,
                        controlling for covariates
wtd.t.test              Produces weighted Student's t-tests with
                        standard errors and significance.
wtd.violinplot          Draw weighted violin plots by group
wtd.xtab                Weighted cross-tabulations using up to three
                        categorical variables
