collapseCategoricalCells

Collapse small sample size categorical frequency counts

Factor out logic
and math common to Item Factor Analysis fitting, diagnostics, and
analysis. It is envisioned as core support code suitable for more
specialized IRT packages to build upon. Complete access to optimized C
functions are made available with R_RegisterCCallable().
This software is described in Pritikin & Falk (2020) <doi:10.1177/0146621620929431>.

Joshua Pritikin

Response Probability Functions

Jonathan Weeks

Li Cai

Carrie Houts

Phil Chalmers

collapseCategoricalCells function

<dl><dt>observed</dt>
<dd>the observed frequency table</dd>
<dt>expected</dt>
<dd>the expected frequency table</dd>
<dt>minExpected</dt>
<dd>the minimum expected cell frequency
Pearson's X^2 test requires some minimum frequency per cell to
avoid an inflated false positive rate. This function will merge
cells with the lowest frequency counts until all the counts are
above the minimum threshold. Cells that have been merged are filled
with NAs. The resulting tables and number of merged cells is
returned.</dd></dl>

Arguments

Collapse small sample size categorical frequency counts — collapseCategoricalCells

<dl>

<dt>observed</dt>
<dd>the observed frequency table</dd>


<dt>expected</dt>
<dd>the expected frequency table</dd>


<dt>minExpected</dt>
<dd>the minimum expected cell frequency
Pearson's X^2 test requires some minimum frequency per cell to
avoid an inflated false positive rate. This function will merge
cells with the lowest frequency counts until all the counts are
above the minimum threshold. Cells that have been merged are filled
with NAs. The resulting tables and number of merged cells is
returned.</dd>

</dl>

collapseCategoricalCells: Collapse small sample size categorical frequency counts

Description

Usage

Arguments

Examples