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  • 1
    devtools

    devtools

    Tools to make an R developer's life easier

    devtools is an R package designed to simplify R package development by providing functions for creating, building, testing, and installing packages from various sources (e.g., CRAN, GitHub). It integrates with usethis, roxygen2, testthat, and simplifies workflows for developers and contributors to the R ecosystem.
    Downloads: 0 This Week
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  • 2
    reprex

    reprex

    Render bits of R code for sharing, e.g., on GitHub or StackOverflow

    ...The goal is to make debugging, asking for help, or demonstrating code easier through rigorous reproducible examples. Get slightly different Markdown, optimized for Slack messages. Handles dependencies (e.g. load required libraries inside the reprex) so that code example is self-contained. Captures session information (R version, package versions etc.) so that context is preserved when sharing.
    Downloads: 0 This Week
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  • 3
    tidyverse

    tidyverse

    Easily install and load packages from the tidyverse

    tidyverse is a meta‑package that installs and loads a cohesive suite of R packages designed for data science, sharing underlying design principles, grammar, and data structures. Core components include ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, forcats, and more. It promotes tidy data workflows and consistency across tasks.
    Downloads: 0 This Week
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  • 4
    swirl

    swirl

    Learn R, in R

    swirl is an R package that allows interactive, in-R learning of statistics, data science, R programming etc. The idea is that you load swirl in R, and it presents you with lessons (within R’s console or RStudio) that ask you to type commands, check results, and progress through tutorial material—without leaving the R environment. It is used for teaching R, especially for beginners, as well as for self-paced learning of packages, data manipulation, visualization, etc.
    Downloads: 0 This Week
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