twoStepTransform

<code>twoStepTransform()</code> is a transformation that can
be applied to a matrix of data. The resulting matrix is both
subject-centered and bias corrected, a technique called
the CM technique b12,c05,m08,oc14superb

Computes standard error and confidence interval of various descriptive statistics under
various designs and sampling schemes. The main function, superb(), return a plot. It can
also be used to obtain a dataframe with the statistics and their precision intervals
so that other plotting environments (e.g., Excel)
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.
The documentation is available at <https://dcousin3.github.io/superb/> .

Denis Cousineau

superb

Summary Plots with Adjusted Error Bars

Bradley Harding

Marc-Andre Goulet

Jesika Walker

twoStepTransform 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

two-step transform for subject centering and bias correction — twoStepTransform

<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>

twoStepTransform: two-step transform for subject centering and bias correction

Description

Usage

Value

Arguments

References