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

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webmockr — by Scott Chamberlain, 5 months ago

Stubbing and Setting Expectations on 'HTTP' Requests

Stubbing and setting expectations on 'HTTP' requests. Includes tools for stubbing 'HTTP' requests, including expected request conditions and response conditions. Match on 'HTTP' method, query parameters, request body, headers and more. Can be used for unit tests or outside of a testing context.

RSelenium — by Ju Yeong Kim, 3 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, 2 years 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.

fastMatMR — by Rohit Goswami, 2 years 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>).

beastier — by Richèl J.C. Bilderbeek, a year ago

Call 'BEAST2'

'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. 'BEAST2' is a command-line tool. This package provides a way to call 'BEAST2' from an 'R' function call.

mcbette — by Richèl J.C. Bilderbeek, a year 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/>).

rfisheries — by Karthik Ram, 10 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).

visdat — by Nicholas Tierney, 3 years ago

Preliminary Visualisation of Data

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

nasapower — by Adam H. Sparks, 7 months ago

NASA POWER API Client

An API client for NASA POWER global meteorology, surface solar energy and climatology data API. POWER (Prediction Of Worldwide Energy Resources) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the NASA Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web-based data viewer and web access, please see < https://power.larc.nasa.gov/>.

charlatan — by Roel M. Hogervorst, a year ago

Make Fake Data

Make fake data that looks realistic, 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.