calc_pval

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 

calc_pval function

<dl><dt>rawt</dt>
<dd>vector of t statistics</dd>
<dt>t.df</dt>
<dd>degrees of freedom</dd>
<dt>two.tailed</dt>
<dd>whether to calculate 1 or 2-tailed p-values</dd></dl>

Arguments

Calculates p-values from t-values — calc_pval

<dl>

<dt>rawt</dt>
<dd>vector of t statistics</dd>


<dt>t.df</dt>
<dd>degrees of freedom</dd>


<dt>two.tailed</dt>
<dd>whether to calculate 1 or 2-tailed p-values</dd>

</dl>

Calculates p-values from t-values

calc_pval: Calculates p-values from t-values

Description

Usage

Value

Arguments