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An R-focused pipeline toolkit for reproducibility and high-performance computing
A frictionless, pipeable approach to dealing with summary statistics
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Updated
Jan 18, 2022
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Function-oriented Make-like declarative workflows for R
Bindings for Tabula PDF Table Extractor Library
Preliminary Exploratory Visualisation of Data
Assertive programming for R analysis pipelines
Complex, interactive heatmaps in R
R package for downloading OpenStreetMap data
Detect text reuse and document similarity
Fast, Consistent Tokenization of Natural Language Text
Genomic Data Retrieval with R
R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
an R package to hold and facilitate interaction with natural earth map data 🌍
📦 for using large(r) data files on GitHub
An R package to enable reproducible data processing, packaging and sharing.
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Data visualisation using OpenStreetMap objects
Australian government Bureau of Meteorology (BOM) data client for R
Avoid the typical working directory pain when using 'knitr'
⛔ ARCHIVED ⛔ 🐒 R package for text analysis with Monkeylearn 🐒

Humane encryption
Parse a BibTeX file to a tibble
Search and download public domain texts from Project Gutenberg
🌐 R package for the OpenCage API -- both forward and reverse geocoding 🌐
R package for downloading weather data from Environment and Climate Change Canada
Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
🚲 Extract data from public hire bicycle systems
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Will speed up install times, could lead to future depreciation.