R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
TrelliscopeJS R Package
Run predictions inside the database
Landscape Metrics for Categorical Map Patterns 🗺️ in R
An R Port of Stata's 'margins' Command
Exploratory Web Apps for Analyzing Clinical Trial Data
Time series features
:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
Format R Code Automatically
Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found help...
✂️ Easy half-half geoms in ggplot2
TODOr - RStudio add-in for finding TODO, FIXME, CHANGED etc. comments in your code.
Reporting tables with R
Reference-guided transcript discovery and quantification for long read RNA-Seq data
R tools for healthcare machine learning
Tools for cleaning and normalizing text data
Read untidy Excel files in R https://nacnudus.github.io/tidyxl/
High Precision Timing of R Expressions
The easiest way to use R package bookdown for writing varied types of books and documents
Generate random data sets
Quick, beautiful and customizable dashboard template for Shiny based on shiny.semantic and Fomantic UI.
An R package for spatial and spatiotemporal GLMMs with TMB
R tools for Eurostat data
🛠️ 📊 Tools for Exploring and Comparing Data Frames
An alternative conflict resolution strategy for R
R wrapper to spaCy NLP
Dropbox Interface from R
A introduction to purrr
Interface between R and the OpenStreetMap-based routing service OSRM
Interactively edit ggplot layer aesthetics and theme definitions
A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution
Query the mathpix API to convert math images to LaTeX
:chart_with_upwards_trend: Financial statements in R
Bindings to Tesseract OCR engine for R
Get hourly meteorological data from one of thousands of global stations
R interface to use GPU's
Automation framework for machine learning, forecasting, model evaluation, and interpretation.
Thematic cartography with R
Execute and Control Subprocesses from R
Analyzing and visualizing KEGG information using the grammar of graphics
Generate high quality, publication ready visualizations for single cell transcriptomics data.
🗯️ Easily create pretty popup messages (modals) in Shiny
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
R client for the Elasticsearch HTTP API
Provides easier interaction with Socrata open data portals http://dev.socrata.com. Users can provide a 'Socrata' data set resource URL, or a 'Socrata'...
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
Facilitate citation of R packages
Some useful R-Ladies files :purple_heart: :earth_africa:
openxlsx - a fast way to read and write complex xslx files
A fully Dockerized, self-hosted development environment for teams. Develop where you serve.