pop.var

Researchers can characterize and learn about the properties of
research designs before implementation using `DeclareDesign`. Ex ante
declaration and diagnosis of designs can help researchers clarify the
strengths and limitations of their designs and to improve their
properties, and can help readers evaluate a research strategy prior
to implementation and without access to results. It can also make it
easier for designs to be shared, replicated, and critiqued.

Graeme Blair

DeclareDesign

Declare and Diagnose Research Designs

Jasper Cooper

Alexander Coppock

Macartan Humphreys

Neal Fultz

pop.var function

<dl><dt>x</dt>
<dd>a numeric vector, matrix or data frame.</dd>
<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd></dl>

Arguments

Population variance function — pop.var

<dl>

<dt>x</dt>
<dd>a numeric vector, matrix or data frame.</dd>


<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>

</dl>

Population variance function

pop.var: Population variance function

Description

Usage

Value

Arguments

Examples