Package index • descriptio

Basic descriptive analysis
`weighted.cor()`	Weighted correlation
`weighted.cov()`	Weighted covariance
`weighted.table()`	Computes a (possibly weighted) contingency table
`weighted.cramer()`	Cramer's V
`crosstab()`	Pretty 2, 3 or 4-way cross-tabulations
`phi.table()`	Computes the phi coefficient for every cells of a contingency table
`stdres.table()`	Standardized residuals of a contingency table
`or.table()`	Computes the odds ratios for every cells of a contingency table
`pem.table()`	Computes the local and global Percentages of Maximum Deviation from Independence (pem)
`assoc.twocat()`	Cross-tabulation and measures of association between two categorical variables
`assoc.catcont()`	Measures the association between a categorical variable and a continuous variable
`assoc.twocont()`	Measures the association between two continuous variables
`assoc.twocat.by()`	Groupwise cross-tabulation and measures of association between two categorical variables
`assoc.catcont.by()`	Measures the groupwise association between a categorical variable and a continuous variable
`assoc.twocont.by()`	Measures the groupwise association between two continuous variables
Advanced descriptive analysis
`weighted.cor2()`	Weighted correlations
`weighted.cov2()`	Weighted covariances
`catdesc()`	Measures the association between a categorical variable and some continuous and/or categorical variables
`condesc()`	Measures the association between a continuous variable and some continuous and/or categorical variables
`assoc.yx()`	Bivariate association measures between a response and predictor variables.
`assoc.xx()`	Bivariate association measures between pairs of variables.
`cattab()`	Bivariate statistics between a categorical variable and a set of variables
`contab()`	Bivariate statistics between a continuous variable and a set of variables
`regtab()`	Univariate and Multivariate Regressions and Their Average Marginal Effects
`darma()`	Describes Associations as in a Regression Model Analysis.
`profiles()`	Profiles by level of a categorical variable
Plots
`ggassoc_crosstab()`	Proportional area plot
`ggassoc_phiplot()`	Bar plot of measures of local association of a crosstabulation
`ggassoc_assocplot()`	Association plot
`ggassoc_chiasmogram()`	Plots counts and associations of a crosstabulation
`ggassoc_bertin()`	Bar plot of a crosstabulation inspired by Bertin
`ggassoc_marimekko()`	Marimekko plot
`ggassoc_boxplot()`	Boxplots with violins
`ggassoc_scatter()`	Scatter plot with a smoothing line
`stat_twocat()`	Cross-tabulation statistics for ggplot2
Miscellaneous
`weighted.quantile()`	Weighted quantiles
`weighted.mad()`	Weighted median absolute deviation to median
`weighted.sd()`	Weighted standard deviation
`agg.wtd.mean()`	Aggregated Weighted Mean
`agg.wtd.var()`	Aggregated Weighted Variance
`agg.wtd.quantile()`	Aggregated Weighted Quantile
`agg.wtd.mad()`	Aggregated Weighted MAD
Datasets
`Movies`	Movies (data)

Reference

Basic descriptive analysis

Advanced descriptive analysis

Plots

Miscellaneous

Datasets