makelist_samp

Given the simulated multi-outcome structure, make a list of
complete (tidy) rectangular datasets, one for each outcome.

internal

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

Luke Miratrix

PUMP

Power Under Multiplicity Project

Kristen Hunter

Zarni Htet

Kristin Porter

MDRC 

Institute of Education Sciences 

makelist_samp function

<dl><dt>samp.obs</dt>
<dd>a single iteration of observed data</dd>
<dt>T.x</dt>
<dd>vector of treatment assignments</dd>
<dt>include_POs</dt>
<dd>Include columns for the potential outcomes in
addition to the observed outcome.</dd></dl>

Arguments

Convert multi-outcome data structure to dataframe for each outcome. — makelist_samp

<dl>

<dt>samp.obs</dt>
<dd>a single iteration of observed data</dd>


<dt>T.x</dt>
<dd>vector of treatment assignments</dd>


<dt>include_POs</dt>
<dd>Include columns for the potential outcomes in
addition to the observed outcome.</dd>

</dl>

makelist_samp: Convert multi-outcome data structure to dataframe for each outcome.

Description

Usage

Value

Arguments