Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 273 packages in 0.25 seconds

RSelenium — by Ju Yeong Kim, 2 years ago

R Bindings for 'Selenium WebDriver'

Provides a set of R bindings for the 'Selenium 2.0 WebDriver' (see < https://www.selenium.dev/documentation/> for more information) using the 'JsonWireProtocol' (see < https://github.com/SeleniumHQ/selenium/wiki/JsonWireProtocol> for more information). 'Selenium 2.0 WebDriver' allows driving a web browser natively as a user would either locally or on a remote machine using the Selenium server it marks a leap forward in terms of web browser automation. Selenium automates web browsers (commonly referred to as browsers). Using RSelenium you can automate browsers locally or remotely.

tracerer — by Richèl J.C. Bilderbeek, 10 months ago

Tracer from R

'BEAST2' (< https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'Tracer' (< https://github.com/beast-dev/tracer/>) is a GUI tool to parse and analyze the files generated by 'BEAST2'. This package provides a way to parse and analyze 'BEAST2' input files without active user input, but using R function calls instead.

jsonld — by Jeroen Ooms, 4 years ago

JSON for Linking Data

JSON-LD is a light-weight syntax for expressing linked data. It is primarily intended for web-based programming environments, interoperable web services and for storing linked data in JSON-based databases. This package provides bindings to the JavaScript library for converting, expanding and compacting JSON-LD documents.

charlatan — by Roel M. Hogervorst, 10 months ago

Make Fake Data

Make fake data, supporting addresses, person names, dates, times, colors, coordinates, currencies, digital object identifiers ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers from distributions and within a range.

fastMatMR — by Rohit Goswami, 9 months ago

High-Performance Matrix Market File Operations

An interface to the 'fast_matrix_market' 'C++' library, this package offers efficient read and write operations for Matrix Market files in R. It supports both sparse and dense matrix formats. Peer-reviewed at ROpenSci (< https://github.com/ropensci/software-review/issues/606>).

rfisheries — by Karthik Ram, 8 years ago

'Programmatic Interface to the 'openfisheries.org' API'

A programmatic interface to 'openfisheries.org'. This package is part of the 'rOpenSci' suite ( http://ropensci.org).

googleLanguageR — by Mark Edmondson, 4 years ago

Call Google's 'Natural Language' API, 'Cloud Translation' API, 'Cloud Speech' API and 'Cloud Text-to-Speech' API

Call 'Google Cloud' machine learning APIs for text and speech tasks. Call the 'Cloud Translation' API < https://cloud.google.com/translate/> for detection and translation of text, the 'Natural Language' API < https://cloud.google.com/natural-language/> to analyse text for sentiment, entities or syntax, the 'Cloud Speech' API < https://cloud.google.com/speech/> to transcribe sound files to text and the 'Cloud Text-to-Speech' API < https://cloud.google.com/text-to-speech/> to turn text into sound files.

mcbette — by Richèl J.C. Bilderbeek, 10 months ago

Model Comparison Using 'babette'

'BEAST2' (< https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'mcbette' allows to do a Bayesian model comparison over some site and clock models, using 'babette' (< https://github.com/ropensci/babette/>).

visdat — by Nicholas Tierney, a year ago

Preliminary Visualisation of Data

Create preliminary exploratory data visualisations of an entire dataset to identify problems or unexpected features using 'ggplot2'.

taxize — by Zachary Foster, 2 years ago

Taxonomic Information from Around the Web

Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more.