conf_intervals

<code>conf_intervals</code> calculates a low and a high quantile for the
<code>mean</code> column of each group of a dataframe

internal

Creates plots showing scored HR experiments and plots of distribution of
means of ranks of HR score from bootstrapping. Authors (2019) <doi:10.5281/zenodo.3374507>.

Dan MacLean

besthr

Generating Bootstrap Estimation Distributions of HR Data

conf_intervals function

<dl><dt>df</dt>
<dd>input data frame</dd>
<dt>quo_group_col</dt>
<dd>quoted group name containing the column to group on</dd>
<dt>low</dt>
<dd>the low probability value of the quantile</dd>
<dt>high</dt>
<dd>the high probability value of the quantile</dd></dl>

Arguments

gets confidence interval limits for means of bootstrapped ranks — conf_intervals

<dl>

<dt>df</dt>
<dd>input data frame</dd>


<dt>quo_group_col</dt>
<dd>quoted group name containing the column to group on</dd>


<dt>low</dt>
<dd>the low probability value of the quantile</dd>


<dt>high</dt>
<dd>the high probability value of the quantile</dd>

</dl>

conf_intervals: gets confidence interval limits for means of bootstrapped ranks

Description

Usage

Arguments