transformHgtoR

The functions transforms a vector of Hedges g values to their equivalent point bi-serial values.

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

transformHgtoR function

<dl><dt>g</dt>
<dd>A vector of Hegdes g values.</dd>
<dt>Nc</dt>
<dd>A vector of numbers identifying the number of control condition participants in each group</dd>
<dt>Nt</dt>
<dd>A vector of numbers identifying the number of treatment condition participants in each group</dd></dl>

Arguments

Barbara Kitchenham and Lech Madeyski

Author

transformHgtoR — transformHgtoR

<dl>

<dt>g</dt>
<dd>A vector of Hegdes g values.</dd>


<dt>Nc</dt>
<dd>A vector of numbers identifying the number of control condition participants in each group</dd>


<dt>Nt</dt>
<dd>A vector of numbers identifying the number of treatment condition participants in each group</dd>

</dl>

transformHgtoR: transformHgtoR

Description

Usage

Value

Arguments

Author

Examples