A curated list of awesome R packages, frameworks and software.
Repository Index
47,133 repositories indexed
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R for data science: a book
- book
- bookdown
- data-science
- r
A curated list of awesome network analysis resources.
- network-analysis
- network-visualization
- complex-networks
- political-networks
Enhancing {ggplot2} plots with statistical analysis 📊📣
a curated list of R tutorials for Data Science, NLP and Machine Learning
- datascience
- data-science
- r
- text-mining
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
An R package for causal inference in time series
Easily install and load packages from the tidyverse
- r
- data-science
- tidyverse
Graph and network visualization using tabular data in R
- r
- network-graph
- graph
- visualization
Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
Readings in applied data science
- teaching
- data-science
A functional programming toolkit for R
- r
- functional-programming
mlr3: Machine Learning in R - next generation
- machine-learning
- data-science
- classification
- regression
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
- word2vec
- text-mining
- natural-language-processing
- glove
English and European soccer results 1871-2022
- soccer
- rstats
- r
- data-science
💡 Easily improve the user experience of your Shiny apps in seconds
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
- r
- strings
- string-interpolation
Echarts 5 for R
🐟 A Swiss-Army Knife for Data I/O
- r
- rio
- stata
- spss
R package for detecting doublets in single-cell RNA sequencing data
Automate Data Exploration and Treatment
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
Encapsulated object-oriented programming for R
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
- cognitive-capitalism
- cognitive-science
- economic-models
- ecosystem-modeling