average_groups

An easy way to analyze international large-scale assessments and surveys
in education or any other dataset that includes replicated weights (Balanced Repeated
Replication (BRR) weights, Jackknife replicate weights,...). It also allows for
analyses with multiply imputed variables (plausible values). It supports the estimation
of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies,
correlation, linear regression and any other model already implemented in R that
takes a data frame and weights as parameters. It also includes  options to prepare
the results for publication, following the table formatting standards of the
Organization for Economic Cooperation and Development (OECD).

Rodolfo Ilizaliturri Lopez

Rrepest

An Analyzer of International Large Scale Assessments in
Education

Rodolfo Ilizaliturri

Francesco Avvisati

Francois Keslair

average_groups function

<dl><dt>res</dt>
<dd>(dataframe) df of results with b. and se. to average</dd>
<dt>data</dt>
<dd>(dataframe) df from which to get replicated weights</dd>
<dt>group</dt>
<dd>(grp function) that takes arguments group.name, column, cases to create averages at the end of dataframe</dd>
<dt>by</dt>
<dd>(string vector) column in which we'll break down results</dd>
<dt>over</dt>
<dd>(vector string) columns over which to do analysis</dd>
<dt>est</dt>
<dd>(est function) that takes arguments what = estimate, tgt = target, rgr = regressor</dd>
<dt>svy</dt>
<dd>(string) name of possible projects to analyse TALISSCH and TALISTCH</dd>
<dt>user_na</dt>
<dd>(bool) TRUE: show nature of user defined missing values for by.var</dd>
<dt>...</dt>
<dd>Additional arguments such as na_to_zero : (Bool) TRUE → will take NA as zero for the simple average calculation</dd></dl>

Arguments

Group Averages — average_groups

<dl>

<dt>res</dt>
<dd>(dataframe) df of results with b. and se. to average</dd>


<dt>data</dt>
<dd>(dataframe) df from which to get replicated weights</dd>


<dt>group</dt>
<dd>(grp function) that takes arguments group.name, column, cases to create averages at the end of dataframe</dd>


<dt>by</dt>
<dd>(string vector) column in which we'll break down results</dd>


<dt>over</dt>
<dd>(vector string) columns over which to do analysis</dd>


<dt>est</dt>
<dd>(est function) that takes arguments what = estimate, tgt = target, rgr = regressor</dd>


<dt>svy</dt>
<dd>(string) name of possible projects to analyse TALISSCH and TALISTCH</dd>


<dt>user_na</dt>
<dd>(bool) TRUE: show nature of user defined missing values for by.var</dd>


<dt>...</dt>
<dd>Additional arguments such as na_to_zero : (Bool) TRUE → will take NA as zero for the simple average calculation</dd>

</dl>

average_groups: Group Averages

Description

Usage

Value

Arguments