Function reference • elucidate

All functions
`colour_options()`	Display the base R colour options.
`consum()`	consecutive summation
`copies()`	Check the number of copies/duplicated rows in a data frame.
`counts()`	Obtain the counts for unique values of a vector.
`counts_all()`	Obtain the counts for unique values of all variables in a data frame.
`counts_tb()`	Obtain the top and bottom "n" counts for unique values of a vector.
`counts_tb_all()`	Obtain the top and bottom "n" counts for unique values of all variables in a data frame.
`describe()`	Obtain a descriptive summary of a variable.
`describe_all()`	Obtain descriptive summaries for all variables in a data frame.
`describe_ci()`	Obtain confidence intervals for a summary statistic of a numeric vector.
`describe_ci_all()`	Confidence intervals for a summary statistic of numeric variables in a data frame.
`describe_na()`	Obtain a descriptive summary of missing values for a variable.
`describe_na_all()`	Obtain a descriptive summary of missing values for all variables in a data frame.
`dupes()`	Check the number of duplicated rows in a data frame.
`elucidate` `elucidate-package`	"elucidate: a collection of convenience functions to help researchers elucidate patterns in their data."
`%ni%`	negative value matching
`inv_quantile()`	Get the quantile(s) corresponding to a vector of values.
`kurtosis()`	Calculate the kurtosis of a numeric variable.
`mean_ci()`	Obtain a (bootstrapped) confidence interval for the mean of a numeric vector.
`median_ci()`	Obtain a bootstrapped confidence interval for the median of a numeric vector.
`mode()`	Obtain the mode of a vector.
`pdata`	practice data for package testing and development
`plot_bar()`	Generate a bar plot.
`plot_box()`	Generate a box-and-whisker plot.
`plot_c()`	Combine plots into a multi-panel display with the `patchwork` or `trelliscopejs` packages.
`plot_density()`	Generate a density plot.
`plot_histogram()`	Generate a histogram.
`plot_line()`	Generate a line graph.
`plot_na()`	Generate a bar plot of missing values for a variable.
`plot_na_all()`	Generate a set of bar plots to assess the amount of missing (NA) values for all variables in a data frame.
`plot_pie()`	Generate a pie chart.
`plot_raincloud()`	Generate a rain cloud plot.
`plot_scatter()`	Generate a scatterplot.
`plot_stat_error()`	Plot a sample mean or median +/- error bars.
`plot_var()`	Plot variables/vectors using a class-appropriate plot_* function.
`plot_var_all()`	Plot all variables/vectors in a data frame using a class-appropriate `plot_*` function.
`plot_var_pairs()`	Plot all variables/vectors in a data frame using a class-appropriate `plot_*` function.
`plot_violin()`	Generate a violin plot.
`recode_errors()`	Recode a vector of erroneous values in a vector or data frame column(s).
`se()`	Calculate the standard error of the mean.
`skewness()`	Calculate the skewness of a numeric variable.
`stat_ci()`	Obtain a bootstrapped confidence interval for a summary statistic of a numeric vector.
`static_to_dynamic()`	Convert a static data frame or ggplot object to a dynamic form to facilitate interactive data exploration.
`translate()`	Recode a variable using a matched pair of vectors.
`wash_df()`	clean up a data frame by parsing/updating column classes.

Reference

All functions