Visualization and Estimation of Effect Sizes

auc | Calculate the area under the curve |

benchmarks | Synthetic benchmark screening data |

binned_plot | Quantile-binned effect size plot |

cdfs | Compute the empirical distribution functions for each of... |

coh_d | Compute Cohen's _d_ |

col_hue | Color hues |

col_scheme | Determine the color scheme to be used for the plotting |

create_base_legend | Create a base legend for a plot |

create_cut_refs | Create a set of reference lines according to a cut score |

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... |

pac | Compute the proportion above a specific cut location |

parse_form | Parse formula |

pooled_sd | Compute pooled standard deviation |

pp_annotate | Annotation function to add AUC/V to a given plot |

pp_calcs | Produce calculations necessary for pp_plot. |

pp_plot | Produces the paired probability plot for two groups |

probs | Compute probabilities from the empirical CDFs of a grouping... |

qtile_es | Compute effect sizes by quantile bins |

qtile_mean_diffs | Compute mean differences by various quantiles |

qtile_n | Compute sample size for each quantile bin for each group |

seda | Portion of the Stanford Educational Data Archive (SEDA). |

seg_match | Match segments on a plot |

star | Data from the Tennessee class size experiment |

themes | Theme settings |

tpac | Transformed proportion above the cut |

v | Calculate the V effect size statistic |

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