R Programming
Showing 21 of 21 projects
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
Course materials for the Johns Hopkins Data Science Specialization on Coursera.
Course materials for the Johns Hopkins Data Science Specialization on Coursera.
A curated collection of R tutorials, packages, and resources for Data Science, NLP, and Machine Learning.
A native R kernel for Jupyter notebooks, enabling R programming within the Jupyter ecosystem.
A cohesive set of functions for string manipulation in R, built on stringi with consistent and user-friendly design.
A curated collection of free resources to help deepen your understanding of the R programming language.
A curated repository of university courses, workshops, and online materials for learning and teaching R programming and data science.
A comprehensive cheat sheet and reference for web scraping in R using rvest, httr, and RSelenium.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
An F# type provider that enables seamless interoperability with R packages, offering type-safe access to R functions from .NET.
A curated collection of learning resources, R packages, and practical examples for understanding and applying topic modeling techniques.
An R package providing a selective import mechanism for functions from packages and modules, avoiding namespace pollution.
An R package for flexibly rearranging, reshaping, and aggregating data, now superseded by tidyr.
Tools for peering inside R objects and understanding R's memory usage and internal behavior.
A curated guide to R packages for web scraping, APIs, web services, and web technologies.
An R package that automates R package documentation and namespace management by generating populated roxygen2 skeletons.
A lightweight R package for creating and managing local R package repositories, simplifying distribution beyond CRAN.
Course materials for UCLA's STATS 418 - Tools in Data Science covering R packages, machine learning libraries, databases, and reproducibility tools.
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