transformRtoHg

This function coverts a vector of point bi-serial r values with associated sample size information back to the mean difference effect size Hedges g.

Includes data analysis and meta-analysis functions (e.g., to
calculate effect sizes and 95% Confidence Intervals (CI) on Standardised
Effect Sizes (d) for AB/BA cross-over repeated-measures experimental
designs), data presentation functions (e.g., density curve overlaid on
histogram),and the data sets analyzed in different research papers in
software engineering (e.g., related to software defect prediction or multi-
site experiment concerning the extent to which structured abstracts were
clearer and more complete than conventional abstracts) to streamline
reproducible research in software engineering.

Lech Madeyski

reproducer

Reproduce Statistical Analyses and Meta-Analyses

Barbara Kitchenham

Tomasz Lewowski

Marian Jureczko

David Budgen

Pearl Brereton

Jacky Keung

Stuart Charters

Shirley Gibbs

Amnart Pohthong

Giuseppe Scanniello

Carmine Gravino

transformRtoHg function

<dl><dt>r</dt>
<dd>A vector of point bi-serial correlation values.</dd>
<dt>Nc</dt>
<dd>A vector of the number of observations in the control condition for the related experiments.</dd>
<dt>Nt</dt>
<dd>A vector of the number of observations in the treatment condition for the related experiments.</dd></dl>

Arguments

Barbara Kitchenham and Lech Madeyski

Author

transformRtoHg — transformRtoHg

<dl>

<dt>r</dt>
<dd>A vector of point bi-serial correlation values.</dd>


<dt>Nc</dt>
<dd>A vector of the number of observations in the control condition for the related experiments.</dd>


<dt>Nt</dt>
<dd>A vector of the number of observations in the treatment condition for the related experiments.</dd>

</dl>

transformRtoHg: transformRtoHg

Description

Usage

Value

Arguments

Author

Examples