. 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).">

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

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
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: adventr results

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