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awesome-r

A curated list of awesome R frameworks, libraries, tools, and resources for data analysis, statistics, and visualization.
https://github.com/awesomelistsio/awesome-r

Last synced: about 9 hours ago
JSON representation

  • Libraries

    • Data Manipulation

      • dplyr - A grammar of data manipulation, providing a set of functions to work with data frames.
      • data.table - A high-performance package for fast data manipulation.
      • tidyr - Tools to help create tidy data, making data easier to work with.
      • readr - A fast and friendly way to read rectangular data (CSV, TSV, etc.).

    • Data Visualization

      • ggplot2 - A powerful and flexible system for creating graphics based on the Grammar of Graphics.
      • plotly - Create interactive plots in R using the Plotly library.
      • lattice - An R package for multivariate data visualization using Trellis graphics.
      • plotly - Create interactive plots in R using the Plotly library.

    • Machine Learning

      • randomForest - An implementation of the Random Forest algorithm.
      • xgboost - Extreme Gradient Boosting, a scalable and fast machine learning library.
      • mlr3 - A modern, object-oriented machine learning framework for R.
      • caret - A package for training and plotting classification and regression models.
      • xgboost - Extreme Gradient Boosting, a scalable and fast machine learning library.
      • mlr3 - A modern, object-oriented machine learning framework for R.

    • Time Series Analysis

      • forecast - Tools for time series forecasting using various models, including ARIMA and ETS.
      • timetk - A toolkit for time series analysis in R, integrated with the tidyverse.
      • prophet - A forecasting tool developed by Facebook, designed for time series data.
      • forecast - Tools for time series forecasting using various models, including ARIMA and ETS.
      • xts - An R package for working with extensible time series.
      • xts - An R package for working with extensible time series.
      • timetk - A toolkit for time series analysis in R, integrated with the tidyverse.
      • prophet - A forecasting tool developed by Facebook, designed for time series data.

    • Spatial Analysis

      • raster - Tools for handling raster data, useful for geographic data analysis.
      • tmap - A package for thematic mapping.
      • sf - Simple features for R, supporting modern spatial data manipulation.
      • sp - A package for spatial data analysis in R.
      • tmap - A package for thematic mapping.
      • raster - Tools for handling raster data, useful for geographic data analysis.
      • sf - Simple features for R, supporting modern spatial data manipulation.
      • sp - A package for spatial data analysis in R.

    • Text Mining

      • tm - A framework for text mining applications in R.
      • quanteda - A package for managing, processing, and analyzing textual data.
      • tidytext - Text mining using tidy data principles.
      • wordcloud - A package for creating word cloud visualizations.
      • tm - A framework for text mining applications in R.
      • quanteda - A package for managing, processing, and analyzing textual data.
      • tidytext - Text mining using tidy data principles.
      • wordcloud - A package for creating word cloud visualizations.

  • Communities

    • Text Mining

  • Tools

    • Text Mining

      • R Markdown - A framework for creating dynamic reports with R, using markdown.
      • knitr - An R package for dynamic report generation with R.
      • pak - A modern package manager for R, designed to make package installation faster and easier.
      • renv - A package for managing R dependencies.
      • R Markdown - A framework for creating dynamic reports with R, using markdown.
      • knitr - An R package for dynamic report generation with R.
      • pak - A modern package manager for R, designed to make package installation faster and easier.
      • renv - A package for managing R dependencies.

  • Integrated Development Environments (IDEs)

    • Text Mining

      • VS Code - Supports R through the [R extension](https://marketplace.visualstudio.com/items?itemName=Ikuyadeu.r).
      • Emacs with ESS - Emacs Speaks Statistics, an add-on package for Emacs text editors.
      • VS Code - Supports R through the [R extension](https://marketplace.visualstudio.com/items?itemName=Ikuyadeu.r).
      • Emacs with ESS - Emacs Speaks Statistics, an add-on package for Emacs text editors.

  • Learning Resources

Programming Languages
R 5 Python 2 C++ 2
Categories
Libraries 38 Learning Resources 10 Tools 8 Communities 5 Integrated Development Environments (IDEs) 4 License 2
Sub Categories
Text Mining 37 Time Series Analysis 8 Spatial Analysis 8 Machine Learning 6 Data Manipulation 4 Data Visualization 4
Keywords
machine-learning 4 forecasting 4 distributed-systems 2 gbdt 2 gbm 2 gbrt 2 xgboost 2 coercion 2 coercion-functions 2 data-mining 2 dplyr 2 forecast 2 forecasting-models 2 r-package 2 series-decomposition 2 series-signature 2 tibble 2 tidy 2 tidyquant 2 tidyverse 2 time 2 time-series 2 timeseries 2 python 2 r 2