poolSDTransform

<code>poolSDTransform</code> is a transformations that can
be applied to a matrix of data. The resulting matrix has the column-
standard deviations equal to the pool standard deviations of the
individual columns, the solution adopted by lm94superb.

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

poolSDTransform 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

pooled standard deviation transform — poolSDTransform

<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>

poolSDTransform: pooled standard deviation transform

Description

Usage

Value

Arguments

References