datasim_run

Run a datasim simulation, producing a data frame

"Lessons in Statistical Thinking" D.T. Kaplan (2014)
<https://dtkaplan.github.io/Lessons-in-statistical-thinking/>
is a textbook for a first or second course in statistics that embraces
data wrangling, causal reasoning, modeling, statistical adjustment,
and simulation. 'LSTbook' supports the student-centered, tidy,
pipeline-oriented computing style featured in the book.

Daniel Kaplan

LSTbook

Data and Software for "Lessons in Statistical Thinking"

Randall Pruim

datasim_run function

<dl><dt>sim</dt>
<dd>A simulation object, as produced by <code>datasim_make()</code>.</dd>
<dt>n</dt>
<dd>The size of the data sample pulled from the simulation.</dd>
<dt>seed</dt>
<dd>An integer random number seed, for reproducibility. (Or, use <code><a href="/link/set.seed()?package=LSTbook&version=0.6" data-mini-rdoc="LSTbook::set.seed()">set.seed()</a></code> before
running <code>sim_run()</code>.)</dd>
<dt>report_hidden</dt>
<dd>logical. If <code>TRUE</code>, show the values of hidden variables (that is, variables whose name
begins with a dot)</dd></dl>

Arguments

Run a datasim simulation, producing a data frame — datasim_run

<dl>

<dt>sim</dt>
<dd>A simulation object, as produced by <code>datasim_make()</code>.</dd>


<dt>n</dt>
<dd>The size of the data sample pulled from the simulation.</dd>


<dt>seed</dt>
<dd>An integer random number seed, for reproducibility. (Or, use <code><a href='https://rdrr.io/r/base/Random.html'>set.seed()</a></code> before
running <code>sim_run()</code>.)</dd>


<dt>report_hidden</dt>
<dd>logical. If <code>TRUE</code>, show the values of hidden variables (that is, variables whose name
begins with a dot)</dd>

</dl>

datasim_run: Run a datasim simulation, producing a data frame

Description

Usage

Value

Arguments