calc.a

This function is a helper function that calculates one element of the standardized mean difference effect size variance based on Hedges and Olkin p128-131.

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

calc.a function

<dl><dt>f</dt>
<dd>a vector defining the degrees of freedom for the effect sizes</dd>
<dt>A</dt>
<dd>a vector defining the constants that relate each StdMD to its related t-variable where t^2=Ad^2</dd></dl>

Arguments

Barbara Kitchenham and Lech Madeyski

Author

calc.a — calc.a

<dl>

<dt>f</dt>
<dd>a vector defining the degrees of freedom for the effect sizes</dd>


<dt>A</dt>
<dd>a vector defining the constants that relate each StdMD to its related t-variable where t^2=Ad^2</dd>

</dl>

calc.a: calc.a

Description

Usage

Value

Arguments

Author

Examples