biasCorrectionTransform

<code>biasCorrectionTransform</code> is a transformation that can
be applied to a matrix of data. The resulting matrix's variance
is corrected for bias m08superb

Computes standard error and confidence interval of various descriptive statistics under
various designs and sampling schemes. The main function, superbPlot(), return a plot. superbData()
returns a dataframe with the statistic and its precision interval so that other plotting package
can be used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109>
or Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau (2005)
<doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012)
<doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>,
Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding
<doi:10.20982/tqmp.15.1.p001> for specific references.

Denis Cousineau

superb

Summary Plots with Adjusted Error Bars

Bradley Harding

Marc-Andre Goulet

Jesika Walker

biasCorrectionTransform function

<dl><dt>dta</dt>
<dd>a data.frame containing the data in wide format;</dd>
<dt>variables</dt>
<dd>a vector of column names on which the transformation will be applied.
the remaining columns will be left unchanged</dd></dl>

Arguments

bias-correction transform — biasCorrectionTransform

<dl>

<dt>dta</dt>
<dd>a data.frame containing the data in wide format;</dd>


<dt>variables</dt>
<dd>a vector of column names on which the transformation will be applied.
the remaining columns will be left unchanged</dd>

</dl>

biasCorrectionTransform: bias-correction transform

Description

Usage

Value

Arguments

References