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adventr: Interactive R Tutorials to Accompany Field (2016), "An Adventure in Statistics"

Interactive 'R' tutorials written using 'learnr' for Field (2016), "An Adventure in Statistics", <ISBN:9781446210451>. Topics include general workflow in 'R' and 'Rstudio', the 'R' environment and 'tidyverse', summarizing data, model fitting, central tendency, visualising data using 'ggplot2', inferential statistics and robust estimation, hypothesis testing, the general linear model, comparing means, repeated measures designs, factorial designs, multilevel models, growth models, and generalized linear models (logistic regression).

Version: 0.1.8
Depends: R (≥ 3.6.0), learnr
Imports: BayesFactor, boot, dplyr, car, effsize, effects, forcats, GGally, ggplot2, Hmisc, lm.beta, nlme, readr, robust, sandwich, sjstats, tidyr, WRS2
Suggests: knitr, rmarkdown
Published: 2020-05-05
DOI: 10.32614/CRAN.package.adventr
Author: Andy Field [aut, cre]
Maintainer: Andy Field <andyf at sussex.ac.uk>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: adventr results

Documentation:

Reference manual: adventr.pdf
Vignettes: A guide to the Adventr packag

Downloads:

Package source: adventr_0.1.8.tar.gz
Windows binaries: r-devel: adventr_0.1.8.zip, r-release: adventr_0.1.8.zip, r-oldrel: adventr_0.1.8.zip
macOS binaries: r-release (arm64): adventr_0.1.8.tgz, r-oldrel (arm64): adventr_0.1.8.tgz, r-release (x86_64): adventr_0.1.8.tgz, r-oldrel (x86_64): adventr_0.1.8.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=adventr 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.