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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
Author: Maarten Speekenbrink ORCID 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.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

Reverse dependencies:

Reverse imports: smplot2

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sdamr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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