tidyverse / tibble
A modern re-imagining of the data frame
☆689Updated last month
Alternatives and similar repositories for tibble:
Users that are interested in tibble are comparing it to the libraries listed below
- A fresh approach to string manipulation in R☆617Updated 4 months ago
- Render bits of R code for sharing, e.g., on GitHub or StackOverflow.☆743Updated 4 months ago
- 🐈🐈🐈🐈: tools for working with categorical variables (factors)☆553Updated 5 months ago
- Building R packages☆887Updated this week
- Data table backend for dplyr☆671Updated 3 weeks ago
- A tidy unified interface to models☆604Updated last month
- Make working with dates in R just that little bit easier☆743Updated last month
- Convert statistical analysis objects from R into tidy format☆1,469Updated 2 months ago
- Read flat files (csv, tsv, fwf) into R☆1,013Updated 5 months ago
- A functional programming toolkit for R☆1,286Updated 4 months ago
- Easily install and load the tidymodels packages☆775Updated last month
- Glue strings to data in R. Small, fast, dependency free interpreted string literals.☆727Updated 3 months ago
- A frictionless, pipeable approach to dealing with summary statistics☆1,123Updated last month
- make 'ggplot' graphics interactive☆815Updated this week
- Improve the readability of R code with the pipe☆960Updated last year
- Generate R package documentation from inline R comments☆600Updated 5 months ago
- Generate static html documentation for an R package☆727Updated last week
- Set up commonly used 📦 components☆868Updated this week
- R Weekly☆734Updated this week
- simple tools for data cleaning in R☆1,399Updated 3 weeks ago
- Database (DBI) backend for dplyr☆478Updated last month
- An R package for tidyverse-friendly statistical inference☆731Updated 3 months ago
- Accelerating ggplot2☆917Updated 10 months ago
- Construct Complex Table with knitr::kable() + pipe.☆698Updated last week
- Tidy Messy Data☆1,388Updated 2 months ago
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆575Updated this week
- Formattable Data Structures☆697Updated last month
- A dplyr backend that partitions a data frame over multiple processes☆644Updated 5 months ago
- sjPlot - Data Visualization for Statistics in Social Science☆617Updated last month
- R package: future: Unified Parallel and Distributed Processing in R for Everyone☆962Updated 2 weeks ago