Package: adventr 0.1.10

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).

Authors:Andy Field [aut, cre]

adventr_0.1.10.tar.gz
adventr_0.1.10.zip(r-4.5)adventr_0.1.10.zip(r-4.4)adventr_0.1.10.zip(r-4.3)
adventr_0.1.10.tgz(r-4.5-any)adventr_0.1.10.tgz(r-4.4-any)adventr_0.1.10.tgz(r-4.3-any)
adventr_0.1.10.tar.gz(r-4.5-noble)adventr_0.1.10.tar.gz(r-4.4-noble)
adventr_0.1.10.tgz(r-4.4-emscripten)adventr_0.1.10.tgz(r-4.3-emscripten)
adventr.pdf |adventr.html
adventr/json (API)

# Install 'adventr' in R:
install.packages('adventr', repos = c('https://profandyfield.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/profandyfield/adventr/issues

Datasets:

On CRAN:

Conda:

5.79 score 36 stars 34 scripts 308 downloads 0 exports 155 dependencies

Last updated 4 years agofrom:2d894ca2d4. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winNOTEMar 05 2025
R-4.5-macNOTEMar 05 2025
R-4.5-linuxNOTEMar 05 2025
R-4.4-winNOTEMar 05 2025
R-4.4-macNOTEMar 05 2025
R-4.4-linuxNOTEMar 05 2025
R-4.3-winNOTEMar 05 2025
R-4.3-macNOTEMar 05 2025

Exports:

Dependencies:abindbackportsbase64encBayesFactorbayestestRbitbit64bootbroombslibcachemcarcarDatacheckmateclicliprclustercodacolorspacecommonmarkcontfraccowplotcpp11crayondata.tabledatawizardDBIDEoptimRDerivdeSolvedigestdoBydplyreffectseffectsizeeffsizeellipsisellipticestimabilityevaluatefansifarverfastmapfit.modelsfontawesomeforcatsforeignFormulafsgenericsGGallyggplot2ggstatsgluegridExtragtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhypergeoinsightisobandjquerylibjsonliteknitrlabelinglaterlatticelearnrlifecyclelm.betalme4magrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamitoolsmodelrmunsellmvtnormnlmenloptrnnetnumDerivparameterspatchworkpbapplypbkrtestpcaPPperformancepillarpkgconfigplyrprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrenvreshaperlangrmarkdownrobustrobustbaserpartrprojrootrrcovrstudioapisandwichsassscalesshinysjstatssourcetoolsSparseMstringistringrsurveysurvivaltibbletidyrtidyselecttinytextzdbutf8vctrsviridisviridisLitevroomwithrWRS2xfunxtableyamlzoo

A guide to the Adventr package

Rendered fromusing_adventr.Rmdusingknitr::rmarkdownon Mar 05 2025.

Last update: 2018-01-17
Started: 2017-09-07