There are 15 repositories under r-language topic.
Collection of various algorithms implemented in R.
⚡ Base R shortcuts: A collection of lesser-known but powerful idioms and coding patterns for writing concise and fast R code
R Language Mode in Processing for Creative Coding, created by @gaocegege, maintained by @jeremydouglass
Useless R Functions. That's it
This R package connects the Salesforce APIs from R using tidy principles.
Auto ML for the tidyverse
Azure Databricks - Advent of 2020 Blogposts
Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)
Explore your activity on YouTube with R: How to analyze and visualize your personal pata history. Find out how you consume YouTube using a copy of your personal data from Google Takeout.
Apache Spark for data engineers
Web scraping, data parsing and automation tutorials. Suited for both beginners and intermediate/advanced programmers.
Infix Operators for Detection, Subsetting and Replacement
Basic statistical modelling examples.
Handling Strings in R
Repository for the Data Science Professional Program from Harvard University on edX
Kaggle Kernels (Python, R, Jupyter Notebooks)
Spells for everyday living. (also a book coming out in 2024)
A biggest collection of free books and other resources for R programming
Create tidy probability/density tibbles and plots of randomly generated and empirical data.
GCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
using the Inverse-Transform method to speed up options pricing simulations in R
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Análisis de texto y visualización de datos con R, de conversaciones de WhatsApp, primer parte. Uso de librería rwhatsapp.
Minicurso de introdução à análise de dados
Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.