r-lib / styler
Non-invasive pretty printing of R code
☆734Updated last week
Related projects ⓘ
Alternatives and complementary repositories for styler
- Glue strings to data in R. Small, fast, dependency free interpreted string literals.☆726Updated last month
- Apply Mapping Functions in Parallel using Futures☆700Updated last year
- Data table backend for dplyr☆670Updated 2 months ago
- A tidy unified interface to models☆599Updated last week
- Render bits of R code for sharing, e.g., on GitHub or StackOverflow.☆742Updated 2 months ago
- Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, …☆585Updated 5 months ago
- On top of spaghetti, all covered in cheese....☆896Updated 2 years ago
- make 'ggplot' graphics interactive☆805Updated this week
- Hexagon sticker in R☆759Updated this week
- Set up commonly used 📦 components☆863Updated this week
- Accelerating ggplot2☆916Updated 9 months ago
- An R package for tidyverse-friendly statistical inference☆726Updated 2 months ago
- A simpler way to find your files☆414Updated this week
- A fresh approach to string manipulation in R☆606Updated 3 months ago
- Explore correlations in R☆589Updated 10 months ago
- Function-oriented Make-like declarative workflows for R☆941Updated this week
- Presentation-Ready Data Summary and Analytic Result Tables☆1,058Updated this week
- Advice on R Package Building☆465Updated this week
- Progress bar in your R terminal☆470Updated last week
- Generate R package documentation from inline R comments☆594Updated 3 months ago
- Tools for theming Shiny and R Markdown via Bootstrap 3, 4, or 5.☆489Updated this week
- A frictionless, pipeable approach to dealing with summary statistics☆1,116Updated last year
- R package that extends ggplot2☆588Updated 6 months ago
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆572Updated last week
- Tidy data structures, summaries, and visualisations for missing data☆652Updated 8 months ago
- Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2☆559Updated this week
- Construct Complex Table with knitr::kable() + pipe.☆690Updated 3 weeks ago
- sjPlot - Data Visualization for Statistics in Social Science☆609Updated 2 months ago
- Tools for ggplot2 scales☆407Updated 3 weeks ago
- Easily install and load the tidymodels packages☆771Updated last month