existsBackgroundVariables

Function is necessary for <code>eatRep</code> and <code>eatModel</code> as well
and therefore exported to namespace.

Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive
analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep',
'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN').
The function for defining (weighted) contrasts in weighted effect coding refers to
te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>.
Functions for weighted statistics refer to
Wolter (2007) <doi:10.1007/978-0-387-35099-8>.

Sebastian Weirich

eatTools

Miscellaneous Functions for the Analysis of Educational
Assessments

Martin Hecht

Karoline Sachse

Benjamin Becker

Nicole Mahler

Edna Grewers

existsBackgroundVariables function

<dl> <dt>dat</dt>
<dd>A data frame</dd> <dt>variable</dt>
<dd>vector of column number(s) or variable name(s)</dd> <dt>warnIfMissing</dt>
<dd>Logical: gives a warning if the variable contains missing values</dd> <dt>stopIfMissingOnVars</dt>
<dd>Character vector of variable names. Only for these variables, warnings as raised
through <code>warnIfMissing = TRUE</code> are turned into errors.</dd></dl>

Arguments

Internally needed function for consistency checks and data preparation. — existsBackgroundVariables

<dl>

 <dt>dat</dt>
<dd>A data frame</dd>

 <dt>variable</dt>
<dd>vector of column number(s) or variable name(s)</dd>

 <dt>warnIfMissing</dt>
<dd>Logical: gives a warning if the variable contains missing values</dd>

 <dt>stopIfMissingOnVars</dt>
<dd>Character vector of variable names. Only for these variables, warnings as raised
through <code>warnIfMissing = TRUE</code> are turned into errors.</dd>

</dl>

existsBackgroundVariables: Internally needed function for consistency checks and data preparation.

Description

Usage

Value

Arguments

Examples