bifietable

This is an Rcpp based version of the
<code><a href="/link/base%3A%3Atable?package=BIFIEsurvey&version=3.5-19" data-mini-rdoc="BIFIEsurvey::base::table">base::table</a></code> function.

Contains tools for survey statistics (especially in educational
assessment) for datasets with replication designs (jackknife,
bootstrap, replicate weights; see Kolenikov, 2010;
Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>,
<doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996,
<doi:10.1080/02331889708802523>).
Descriptive statistics, linear and logistic regression,
path models for manifest variables with measurement error
correction and two-level hierarchical regressions for weighted
samples are included. Statistical inference can be conducted for
multiply imputed datasets and nested multiply imputed datasets
and is in particularly suited for the analysis of plausible values
(for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016;
Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham &
Yanagida, 2016). The package development was supported by BIFIE
(Federal Institute for Educational Research, Innovation and Development
of the Austrian School System; Salzburg, Austria).

Alexander Robitzsch

BIFIEsurvey

Tools for Survey Statistics in Educational Assessment

bifietable function

<dl> <dt>vec</dt>
<dd>A numeric or character vector</dd><dt>sort.names</dt>
<dd>An optional logical indicating whether values in the
character vector should also be sorted in the table output</dd></dl>

Arguments

This is an Rcpp based version of the
<code><a href='https://rdrr.io/r/base/table.html'>base::table</a></code> function.

An Rcpp Based Version of the table Function — bifietable

<dl>

 <dt>vec</dt>
<dd>A numeric or character vector</dd>

<dt>sort.names</dt>
<dd>An optional logical indicating whether values in the
character vector should also be sorted in the table output</dd>

</dl>

bifietable: An Rcpp Based Version of the `table` Function

Description

Usage

Value

Arguments

See Also

Examples