Visualization and Estimation of Effect Sizes

Documentation for package ‘esvis’ version 0.1.0

auc	Calculate the area under the curve
binned_plot	Quantile-binned effect size plot
cdfs	Compute the empirical distribution functions for each of several groups.
coh_d	Compute Cohen's _d_
col_hue	Color hues
create_base_legend	Create a base legend for a plot
create_legend	Create a legend for a plot
create_vec	Create a named vector of all possible combinations
ecdf_plot	Empirical Cumulative Distribution Plot
empty_plot	Create an empty plot
hedg_g	Compute Hedges' _g_ This function calculates effect sizes in terms of Hedges' _g_, also called the corrected (for sample size) effect size. See 'coh_d' for the uncorrected version. Also see Lakens (2013) for a discussion on different types of effect sizes and their interpretation. Note that missing data are removed from the calculations of the means and standard deviations.
pac	Compute the proportion above a specific cut location
parse_form	Parse formula
pooled_sd	Compute pooled standard deviation
pp_plot	Produces the paired probability plot for two groups
probs	Compute probabilities from the empirical CDFs of a grouping variable for each group.
qtile_es	Compute effect sizes by quantile bins
qtile_mean_diffs	Compute mean differences by various quantiles
seda	Portion of the Stanford Educational Data Archive (SEDA).
star	Data from the Tennessee class size experiment
tpac	Transformed proportion above the cut
v	Calculate the V effect size statistic