rstudio / rstudio-confLinks
Materials for rstudio::conf
☆746Updated last month
Alternatives and similar repositories for rstudio-conf
Users that are interested in rstudio-conf are comparing it to the libraries listed below
Sorting:
- A frictionless, pipeable approach to dealing with summary statistics☆1,139Updated 5 months ago
- Render bits of R code for sharing, e.g., on GitHub or StackOverflow.☆747Updated 2 months ago
- RStudio hex stickers☆505Updated last month
- R Weekly☆793Updated this week
- Code from live exploratory analyses of data in R☆384Updated 3 years ago
- make 'ggplot' graphics interactive☆863Updated 2 months ago
- Easily install and load the tidymodels packages☆806Updated last month
- 🤹♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate☆792Updated 3 years ago
- Building R packages☆935Updated this week
- Code and content for "Tidy Modeling with R"☆620Updated last month
- Convert statistical analysis objects from R into tidy format☆1,505Updated 3 weeks ago
- Using Git and GitHub with R, Rstudio, and R Markdown☆613Updated 10 months ago
- On top of spaghetti, all covered in cheese....☆920Updated 3 weeks ago
- Data table backend for dplyr☆673Updated last month
- An R package for tidyverse-friendly statistical inference☆773Updated last week
- A Framework for Building Robust Shiny Apps☆936Updated 3 weeks ago
- simple tools for data cleaning in R☆1,440Updated last year
- A tidy unified interface to models☆638Updated 3 weeks ago
- HTML output formats for RMarkdown documents☆733Updated 8 months ago
- Tidy data structures, summaries, and visualisations for missing data☆668Updated 7 months ago
- A fresh approach to string manipulation in R☆647Updated last month
- Mastering Shiny: a book☆1,367Updated 10 months ago
- Make waffle (square pie) charts in R☆784Updated last year
- Easily send great-looking HTML email messages from R☆563Updated 8 months ago
- Interactive Tutorials with R Markdown☆726Updated last month
- 🐈🐈🐈🐈: tools for working with categorical variables (factors)☆553Updated 3 months ago
- "What They Forgot to Teach You About R" website / eBook☆434Updated this week
- A guide to some of the most useful R Packages that we know about☆666Updated 6 years ago
- 🤹 Shiny tips & tricks for improving your apps and solving common problems☆1,214Updated last week
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆609Updated 2 weeks ago