Man pages for esvis
Visualization and Estimation of Effect Sizes

aucCalculate the area under the curve
benchmarksSynthetic benchmark screening data
binned_plotQuantile-binned effect size plot
cdfsCompute the empirical distribution functions for each of...
coh_dCompute Cohen's _d_
col_hueColor hues
col_schemeDetermine the color scheme to be used for the plotting
create_base_legendCreate a base legend for a plot
create_cut_refsCreate a set of reference lines according to a cut score
create_legendCreate a legend for a plot
create_vecCreate a named vector of all possible combinations
ecdf_plotEmpirical Cumulative Distribution Plot
empty_plotCreate an empty plot
hedg_gCompute Hedges' _g_ This function calculates effect sizes in...
pacCompute the proportion above a specific cut location
parse_formParse formula
pooled_sdCompute pooled standard deviation
pp_annotateAnnotation function to add AUC/V to a given plot
pp_calcsProduce calculations necessary for pp_plot.
pp_plotProduces the paired probability plot for two groups
probsCompute probabilities from the empirical CDFs of a grouping...
qtile_esCompute effect sizes by quantile bins
qtile_mean_diffsCompute mean differences by various quantiles
qtile_nCompute sample size for each quantile bin for each group
sedaPortion of the Stanford Educational Data Archive (SEDA).
seg_matchMatch segments on a plot
starData from the Tennessee class size experiment
themesTheme settings
tpacTransformed proportion above the cut
vCalculate the V effect size statistic
esvis documentation built on April 10, 2018, 1:04 a.m.