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sdamr: Statistics: Data Analysis and Modelling

Data sets and functions to support the books "Statistics: Data analysis and modelling" by Speekenbrink, M. (2021) <https://mspeekenbrink.github.io/sdam-book/> and "An R companion to Statistics: data analysis and modelling" by Speekenbrink, M. (2021) <https://mspeekenbrink.github.io/sdam-r-companion/>. All datasets analysed in these books are provided in this package. In addition, the package provides functions to compute sample statistics (variance, standard deviation, mode), create raincloud and enhanced Q-Q plots, and expand Anova results into omnibus tests and tests of individual contrasts.

Version:0.2.0
Depends:R (≥ 3.5.0)
Imports:methods, stats,dplyr,ggplot2, grid,car
Published:2022-11-16
DOI:10.32614/CRAN.package.sdamr
Author:Maarten SpeekenbrinkORCID iD [aut, cre]
Maintainer:Maarten Speekenbrink <m.speekenbrink at ucl.ac.uk>
License:GPL-3
URL:https://mspeekenbrink.github.io/sdam-r/
NeedsCompilation:no
Language:en-GB
Materials:README,NEWS
CRAN checks:sdamr results

Documentation:

Reference manual:sdamr.html ,sdamr.pdf

Downloads:

Package source: sdamr_0.2.0.tar.gz
Windows binaries: r-devel:sdamr_0.2.0.zip, r-release:sdamr_0.2.0.zip, r-oldrel:sdamr_0.2.0.zip
macOS binaries: r-release (arm64):sdamr_0.2.0.tgz, r-oldrel (arm64):sdamr_0.2.0.tgz, r-release (x86_64):sdamr_0.2.0.tgz, r-oldrel (x86_64):sdamr_0.2.0.tgz
Old sources: sdamr archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=sdamrto link to this page.


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