## 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.