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

Found 308 packages in 0.01 seconds

rplos — by Scott Chamberlain, 5 years ago

Interface to the Search API for 'PLoS' Journals

A programmatic interface to the 'SOLR' based search API (< http://api.plos.org/>) provided by the Public Library of Science journals to search their articles. Functions are included for searching for articles, retrieving articles, making plots, doing 'faceted' searches, 'highlight' searches, and viewing results of 'highlighted' searches in a browser.

emodnet.wfs — by Joana Beja, 2 months ago

Access 'EMODnet' Web Feature Service Data

Access and interrogate 'EMODnet' (European Marine Observation and Data Network) Web Feature Service data < https://emodnet.ec.europa.eu/en/emodnet-web-service-documentation#data-download-services>. This includes listing existing data sources, and getting data from each of them.

opencage — by Daniel Possenriede, 5 years ago

Geocode with the OpenCage API

Geocode with the OpenCage API, either from place name to longitude and latitude (forward geocoding) or from longitude and latitude to the name and address of a location (reverse geocoding), see < https://opencagedata.com/>.

babette — by Richèl J.C. Bilderbeek, 2 years ago

Control '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 commonly accompanied by 'BEAUti 2', 'Tracer' and 'DensiTree'. 'babette' provides for an alternative workflow of using all these tools separately. This allows doing complex Bayesian phylogenetics easily and reproducibly from 'R'.

rix — by Bruno Rodrigues, 4 months ago

Reproducible Data Science Environments with 'Nix'

Simplifies the creation of reproducible data science environments using the 'Nix' package manager, as described in Dolstra (2006) . The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools or programming languages such as Python or Julia. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.

spelling — by Jeroen Ooms, 10 months ago

Tools for Spell Checking in R

Spell checking common document formats including latex, markdown, manual pages, and description files. Includes utilities to automate checking of documentation and vignettes as a unit test during 'R CMD check'. Both British and American English are supported out of the box and other languages can be added. In addition, packages may define a 'wordlist' to allow custom terminology without having to abuse punctuation.

quadkeyr — by Florencia D'Andrea, a year ago

Generate Raster Images from QuadKey-Identified Datasets

A set of functions of increasing complexity allows users to (1) convert QuadKey-identified datasets, based on 'Microsoft's Bing Maps Tile System', into Simple Features data frames, (2) transform Simple Features data frames into rasters, and (3) process multiple 'Meta' ('Facebook') QuadKey-identified human mobility files directly into raster files. For more details, see D’Andrea et al. (2024) .

rredlist — by William Gearty, 9 months ago

'IUCN' Red List Client

'IUCN' Red List (< https://api.iucnredlist.org/>) client. The 'IUCN' Red List is a global list of threatened and endangered species. Functions cover all of the Red List 'API' routes. An 'API' key is required.

rnaturalearth — by Philippe Massicotte, 5 months ago

World Map Data from Natural Earth

Facilitates mapping by making natural earth map data from < https://www.naturalearthdata.com/> more easily available to R users.

tinkr — by Zhian N. Kamvar, 8 months ago

Cast '(R)Markdown' Files to 'XML' and Back Again

Parsing '(R)Markdown' files with numerous regular expressions can be fraught with peril, but it does not have to be this way. Converting '(R)Markdown' files to 'XML' using the 'commonmark' package allows in-memory editing via of 'markdown' elements via 'XPath' through the extensible 'R6' class called 'yarn'. These modified 'XML' representations can be written to '(R)Markdown' documents via an 'xslt' stylesheet which implements an extended version of 'GitHub'-flavoured 'markdown' so that you can tinker to your hearts content.