median_cl_boot

<code>median_cl_boot</code> computes lower and upper confidence limits for the
estimated median, based on bootstrapping.

The main functionalities of 'wrappedtools' are:
adding backticks to variable names; rounding to desired precision
with special case for p-values;
selecting columns based on pattern and storing their position, name,
and backticked name; computing and formatting of descriptive statistics
(e.g. mean±SD), comparing groups and creating publication-ready tables with
descriptive statistics and p-values; creating specialized plots for
correlation matrices. Functions were mainly written for my own daily work or
teaching, but may be of use to others as well.

Andreas Busjahn

wrappedtools

Useful Wrappers Around Commonly Used Functions

Franziska Eidloth

Bilal Asser

median_cl_boot function

<dl><dt>x</dt>
<dd>Data for computation.</dd>
<dt>conf</dt>
<dd>confidence interval with default 95%.</dd>
<dt>type</dt>
<dd>type for function boot.ci.</dd>
<dt>nrepl</dt>
<dd>number of bootstrap replications, defaults to 1000.</dd>
<dt>round</dt>
<dd>logical, applies roundR function to results. Output is character.</dd>
<dt>roundDig</dt>
<dd>number of relevant digits for function roundR.</dd></dl>

Arguments

Compute confidence interval of median by bootstrapping. — median_cl_boot

<dl>

<dt>x</dt>
<dd>Data for computation.</dd>


<dt>conf</dt>
<dd>confidence interval with default 95%.</dd>


<dt>type</dt>
<dd>type for function boot.ci.</dd>


<dt>nrepl</dt>
<dd>number of bootstrap replications, defaults to 1000.</dd>


<dt>round</dt>
<dd>logical, applies roundR function to results. Output is character.</dd>


<dt>roundDig</dt>
<dd>number of relevant digits for function roundR.</dd>

</dl>

median_cl_boot: Compute confidence interval of median by bootstrapping.

Description

Usage

Value

Arguments

Examples