wtdVar

This functions works quite equally as the <code>wtd.var</code> function
from the <code>Hmisc</code> package.

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

wtdVar function

<dl> <dt>x</dt>
<dd>
numeric vector</dd> <dt>weights</dt>
<dd>
a numeric vector of non-negative weights</dd> <dt>na.rm</dt>
<dd>
set to <code>FALSE</code> to suppress checking for NAs. If <code>TRUE</code>, NAs are removed
from <code>x</code> as well as from <code>weights</code> prior to variance estimation.</dd></dl>

Arguments

Author

Computed weighted variance — wtdVar

<dl>

 <dt>x</dt>
<dd>
numeric vector</dd>

 <dt>weights</dt>
<dd>
a numeric vector of non-negative weights</dd>

 <dt>na.rm</dt>
<dd>
set to <code>FALSE</code> to suppress checking for NAs. If <code>TRUE</code>, NAs are removed
from <code>x</code> as well as from <code>weights</code> prior to variance estimation.</dd>

</dl>

wtdVar: Computed weighted variance

Description

Usage

Value

Arguments

Author

Examples