In statsExpressions: Tidy Dataframes and Expressions with Statistical Details

The returned object is a tibble data frame with the additional class "statsExpressions". Unlike the hypothesis-testing functions, this one returns one row per level of the grouping variable x, describing the distribution of y within that level. The columns are:

the grouping variable (named after x, e.g. Species)
the requested centrality estimate (named after y, e.g. Sepal.Length): the mean (type = "parametric"), median ("nonparametric"), trimmed mean ("robust"), or MAP estimate ("bayes")
std.dev: standard deviation (for "parametric" and "robust")
mad: median absolute deviation (for "nonparametric")
iqr: interquartile range
conf.low, conf.high: bounds of the confidence/credible interval for the centrality estimate
min, max: minimum and maximum values
skewness, kurtosis: shape statistics of the distribution
n.obs: number of non-missing observations
missing.obs: number of missing observations after filtering (always 0, since rows with missing x or y are removed before summarizing)
expression: a list-column of pre-formatted plotmath expressions (each element is a language object, not a character string) containing the centrality estimate, ready to be used in {ggplot2}
n.expression: a label combining the group name and its sample size (e.g. "setosa\n(n = 50)"), useful as an axis or facet label

The exact dispersion column depends on the type of analysis (std.dev vs mad; neither is returned for "bayes"), and datawizard::describe_distribution() is used internally to compute these indices.

For more examples, see the data frame output vignette and the Return value schema article.