indep_diff

Get in a dataframe all bivariate combinations of differences and standard errors from columns starting with b. and se. assuming independence.
For a time series the vector must be order from oldest to newest.

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

indep_diff function

<dl><dt>df</dt>
<dd>(dataframe) Dataframe that contains the columns with b. and se. on their name to get the difference from</dd>
<dt>vec_series</dt>
<dd>(numeric vector) Column names to get difference from, not including "b." at the start. Must have a column in dataframe also including "se.".</dd></dl>

Arguments

Independent Differences of columns — indep_diff

<dl>

<dt>df</dt>
<dd>(dataframe) Dataframe that contains the columns with b. and se. on their name to get the difference from</dd>


<dt>vec_series</dt>
<dd>(numeric vector) Column names to get difference from, not including "b." at the start. Must have a column in dataframe also including "se.".</dd>

</dl>

indep_diff: Independent Differences of columns

Description

Usage

Value

Arguments

Examples