Obtains a list with the arguments for the est() function used within the Rrepest() function.

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,...) while also allowing for analysis 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

est function

<dl><dt>statistic</dt>
<dd>(string vector) Statistics of interest that can include
mean ("mean"), variance ("var"), standard deviation ("std"), quantile ("quant"), inter-quantile range ("iqr"),
frequency count ("freq"), correlation ("corr"), linear regression ("lm"), covariance ("cov") and
any other statistics that are not pre-programmed into Rrepest but take a data frame and weights as parameters ("gen")</dd>
<dt>target</dt>
<dd>(string vector) Variable(s) of interest of the estimation</dd>
<dt>regressor</dt>
<dd>(string vector) Independent variable(s) to be included in a linear regression</dd></dl>

Arguments

Estimate list — est

<dl>

<dt>statistic</dt>
<dd>(string vector) Statistics of interest that can include
mean ("mean"), variance ("var"), standard deviation ("std"), quantile ("quant"), inter-quantile range ("iqr"),
frequency count ("freq"), correlation ("corr"), linear regression ("lm"), covariance ("cov") and
any other statistics that are not pre-programmed into Rrepest but take a data frame and weights as parameters ("gen")</dd>


<dt>target</dt>
<dd>(string vector) Variable(s) of interest of the estimation</dd>


<dt>regressor</dt>
<dd>(string vector) Independent variable(s) to be included in a linear regression</dd>

</dl>

est: Estimate list

Description

Usage

Value

Arguments

Examples