transformZrtoHgapprox

This function provides an approximate transformation from Zr to Hedges g when the number of observations in the treatment and control group are unknown. It is also used to allow the forest plots to display Hedge's g when they are based on r. It is necessary because the transformation function in the forest plot function does not allow any parameters other than effect size used. The function assumes that Nc=Nt and gives the same results as transformZrtoHg when Nc=Nt.

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

transformZrtoHgapprox function

<dl><dt>Zr</dt>
<dd>A vector of normalised point bi-serial values</dd></dl>

Arguments

Barbara Kitchenham and Lech Madeyski

Author

transformZrtoHgapprox — transformZrtoHgapprox

<dl>

<dt>Zr</dt>
<dd>A vector of normalised point bi-serial values</dd>

</dl>

transformZrtoHgapprox: transformZrtoHgapprox

Description

Usage

Value

Arguments

Author

Examples