Package: datascience.curriculum 0.0.0.9012

datascience.curriculum: Blaser Lab Data Science Online Course

What the package does (one paragraph).

Authors:Brad Blaser [aut, cre]

datascience.curriculum_0.0.0.9012.tar.gz
datascience.curriculum_0.0.0.9012.zip(r-4.7-any)datascience.curriculum_0.0.0.9012.zip(r-4.6-any)datascience.curriculum_0.0.0.9012.zip(r-4.5-any)
datascience.curriculum_0.0.0.9012.tgz(r-4.6-any)datascience.curriculum_0.0.0.9012.tgz(r-4.5-any)
datascience.curriculum_0.0.0.9012.tar.gz(r-4.7-any)datascience.curriculum_0.0.0.9012.tar.gz(r-4.6-any)
datascience.curriculum_0.0.0.9012.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
datascience.curriculum/json (API)

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

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

Pkgdown/docs site:https://blaserlab.github.io

On CRAN:

Conda:

3.86 score 1 stars 12 scripts 0 exports 144 dependencies

Last updated from:c5ed90ef97. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE149
source / vignettesOK224
linux-releaseNOTE210
macos-releaseNOTE86
macos-oldrelNOTE94
windows-develNOTE101
windows-releaseNOTE72
windows-oldrelNOTE67
wasm-releaseOK120

Exports:

Dependencies:abindaskpassbackportsbase64encbitbit64blobbootbroombslibcachemcallrcarcarDatacellrangerclicliprcolorspaceconflictedcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDerivdigestdoBydplyrdtplyrevaluatefarverfastmapfontawesomeforcatsforecastFormulafracdifffsgarglegenericsggplot2ggpubrggrepelggsciggsignifgluegoogledrivegooglesheets4gridExtragtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamodelrnlmenloptrnnetnumDerivopensslotelpbkrtestpillarpkgconfigpolynomprettyunitsprocessxprogresspspurrrquantregR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreadxlreformulasrematchrematch2reprexrlangrmarkdownrstatixrstudioapirvestS7sassscalesselectrSparseMstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytextzdburcautf8uuidvctrsviridisLitevroomwithrxfunxml2yamlzoo

Core Lesson 1: Setting Up
Introduction | R and Rstudio | Setting up your system | Directory Structure | Projects | Setting up a project | Project organization | Git and github | Setting up git and github for the first time on a system | Set up your project to use git and github | Using git and github | Packages | Installing packages | Get a new project library | Exercises
Rendered fromcore_1.Rmdusingknitr::rmarkdown

Last update: 2026-10-13
Started: 2026-01-11

Core Lesson 3: Next Level R
Introduction | Scope | Functions | Writing custom functions | Conditionals | Map/Apply | Plotting | Plot framework | Basic statistical testing | Exercises
Rendered fromcore_3.Rmdusingknitr::rmarkdown

Last update: 2026-01-12
Started: 2026-01-11

Core Lesson 2: R Fundamentals
Introduction | Data formatting | Input and data types | More on data types | Variable assignment | Data structures | Subsetting with base R functions | Data operations | Dplyr | Exercises
Rendered fromcore_2.Rmdusingknitr::rmarkdown

Last update: 2026-01-11
Started: 2026-01-11

Core Lesson 4: Packages
Introduction | Saving R objects | Setting up the package | Adding data | Adding data-processing code | Option: include raw data | Documenting data | Finish up the data package | A note about saving single cell RNA-seq data | Installing the Data Package | Exercises
Rendered fromcore_4.Rmdusingknitr::rmarkdown

Last update: 2026-01-11
Started: 2026-01-11