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