Package: datascience.curriculum 0.0.0.9008

datascience.curriculum: Data Science 2023

What the package does (one paragraph).

Authors:Brad Blaser [aut, cre]

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NEWS

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

Peer review:

Bug tracker:https://github.com/blaserlab/datascience.curriculum/issues

On CRAN:

0 exports 1 stars 0.09 score 134 dependencies

Last updated 1 years agofrom:028494bb71

Exports:

Dependencies:abindaskpassbackportsbase64encbitbit64blobbootbroombslibcachemcallrcarcarDatacellrangerclicliprcolorspaceconflictedcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDerivdigestdoBydplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2ggpubrggrepelggsciggsignifgluegoogledrivegooglesheets4gridExtragtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpolynomprettyunitsprocessxprogresspspurrrquantregR6raggrappdirsRColorBrewerRcppRcppEigenreadrreadxlrematchrematch2reprexrlangrmarkdownrstatixrstudioapirvestsassscalesselectrSparseMstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml

Week 1: Setting Up

Rendered fromweek_1.Rmdusingknitr::rmarkdownon Jul 10 2024.

Last update: 2023-04-11
Started: 2022-01-28

Week 2: R Fundamentals

Rendered fromweek_2.Rmdusingknitr::rmarkdownon Jul 10 2024.

Last update: 2023-02-22
Started: 2022-02-17

Week 3: Next Level R

Rendered fromweek_3.Rmdusingknitr::rmarkdownon Jul 10 2024.

Last update: 2023-02-22
Started: 2022-02-17

Week 6: Packages

Rendered fromweek_6.Rmdusingknitr::rmarkdownon Jul 10 2024.

Last update: 2023-03-23
Started: 2022-02-17