sim_joint_dist

This function is mainly used internally, such as for simulating missing data patterns, but is available in case anyone finds it useful.

Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://debruine.github.io/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.

Lisa DeBruine

faux

Simulation for Factorial Designs

Anna Krystalli

Andrew Heiss

sim_joint_dist function

<dl><dt>data</dt>
<dd>the existing tbl</dd>
<dt>...</dt>
<dd>columns to calculate the joint distribution from, if none are chosen, all columns with 10 or fewer unique values will be chosen</dd>
<dt>n</dt>
<dd>the number of total observations to return</dd>
<dt>empirical</dt>
<dd>Should the returned data have the exact same distribution of conditions? (versus be sampled from a population with this distribution)</dd></dl>

Arguments

Simulate category joint distribution — sim_joint_dist

<dl>

<dt>data</dt>
<dd>the existing tbl</dd>


<dt>...</dt>
<dd>columns to calculate the joint distribution from, if none are chosen, all columns with 10 or fewer unique values will be chosen</dd>


<dt>n</dt>
<dd>the number of total observations to return</dd>


<dt>empirical</dt>
<dd>Should the returned data have the exact same distribution of conditions? (versus be sampled from a population with this distribution)</dd>

</dl>

sim_joint_dist: Simulate category joint distribution

Description

Usage

Value

Arguments

Examples