reproducer: Reproduce Statistical Analyses and Meta-Analyses
Version 0.1.8

Includes data analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for ABBA 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.

Getting started

Package details

AuthorLech Madeyski [cre, aut, ctb], Marian Jureczko [ctb] (Data contributor), Barbara Kitchenham [ctb] (Data and code contributor), David Budgen [ctb] (Data contributor), Pearl Brereton [ctb] (Data contributor), Jacky Keung [ctb] (Data contributor), Stuart Charters [ctb] (Data contributor), Shirley Gibbs [ctb] (Data contributor), Amnart Pohthong [ctb] (Data contributor)
Date of publication2017-02-12 20:50:16
MaintainerLech Madeyski <lech.madeyski@gmail.com>
LicenseCC BY 4.0
Version0.1.8
URL http://madeyski.e-informatyka.pl/reproducible-research/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("reproducer")

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reproducer documentation built on May 29, 2017, 12:08 p.m.