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-4.4-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'))

Peer review:

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

Datasets:

On CRAN:

0 exports 34 stars 2.58 score 156 dependencies 34 scripts 365 downloads

Last updated 4 years agofrom:2d894ca2d4. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winNOTESep 06 2024
R-4.5-linuxNOTESep 06 2024
R-4.4-winNOTESep 06 2024
R-4.4-macNOTESep 06 2024
R-4.3-winNOTESep 06 2024
R-4.3-macNOTESep 06 2024

Exports:

Dependencies:abindbackportsbase64encBayesFactorbayestestRbitbit64bootbroombroom.helpersbslibcachemcarcarDatacardscheckmateclicliprclustercodacolorspacecommonmarkcontfraccowplotcpp11crayondata.tabledatawizardDBIDEoptimRDerivdeSolvedigestdoBydplyreffectseffectsizeeffsizeellipsisellipticestimabilityevaluatefansifarverfastmapfit.modelsfontawesomeforcatsforeignFormulafsgenericsGGallyggplot2ggstatsgluegridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhypergeoinsightisobandjquerylibjsonliteknitrlabelinglabelledlaterlatticelearnrlifecyclelm.betalme4magrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamitoolsmodelrmunsellmvtnormnlmenloptrnnetnumDerivparameterspatchworkpbapplypbkrtestpcaPPperformancepillarpkgconfigplyrprettyunitsprogresspromisespurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadrrenvreshaperlangrmarkdownrobustrobustbaserpartrprojrootrrcovrstudioapisandwichsassscalesshinysjstatssourcetoolsSparseMstringistringrsurveysurvivaltibbletidyrtidyselecttinytextzdbutf8vctrsviridisviridisLitevroomwithrWRS2xfunxtableyamlzoo

A guide to the Adventr package

Rendered fromusing_adventr.Rmdusingknitr::rmarkdownon Sep 06 2024.

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