reproducer (0.1.9)

0 users

Reproduce Statistical Analyses and Meta-Analyses.

http://madeyski.e-informatyka.pl/reproducible-research/
http://cran.r-project.org/web/packages/reproducer

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.

Maintainer: Lech Madeyski
Author(s): Lech 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)

License: CC BY 4.0

Uses: ggplot2, openxlsx, testthat, assertthat

Released 4 months ago.


7 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of reproducer yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for reproducer on google, google scholar, r-help, r-devel.

Visit reproducer on R Graphical Manual.