R-universe search: vcr

Showing 8 of total 8 results (show query)

ropensci

vcr:Record 'HTTP' Calls to Disk

Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.

Maintained by Scott Chamberlain. Last updated 28 days ago.

http https api web-services curl mock mocking http-mocking testing testing-tools tdd unit-testing vcr

107.2 match 77 stars 10.06 score 165 scripts

jakobraymaekers

classmap:Visualizing Classification Results

Tools to visualize the results of a classification of cases. The graphical displays include stacked plots, silhouette plots, quasi residual plots, and class maps. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, appeared online. <doi:10.1080/00401706.2021.1927849> (open access) and Raymaekers and Rousseeuw (2021), Silhouettes and quasi residual plots for neural nets and tree-based classifiers, <arXiv:2106.08814>. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples", "Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples", and "Neural_net_examples".

Maintained by Jakob Raymaekers. Last updated 2 years ago.

28.0 match 3.08 score 20 scripts

ropensci

crul:HTTP Client

A simple HTTP client, with tools for making HTTP requests, and mocking HTTP requests. The package is built on R6, and takes inspiration from Ruby's 'faraday' gem (<https://rubygems.org/gems/faraday>). The package name is a play on curl, the widely used command line tool for HTTP, and this package is built on top of the R package 'curl', an interface to 'libcurl' (<https://curl.se/libcurl/>).

Maintained by Scott Chamberlain. Last updated 8 months ago.

http https api web-services curl download libcurl async mocking caching

1.5 match 107 stars 14.07 score 240 scripts 168 dependents

lter

lterdatasampler:Educational Dataset Examples from the Long Term Ecological Research Program

Curated datasets from US Long Term Ecological Research sites.

Maintained by Allison Horst. Last updated 1 years ago.

data-science ecology lter-science

3.2 match 50 stars 6.26 score 240 scripts

ropensci

nasapower: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/>.

Maintained by Adam H. Sparks. Last updated 26 days ago.

nasa meteorological-data weather global weather-data meteorology nasa-power agroclimatology earth-science data-access climate-data agroclimatology-data weather-variables

1.5 match 101 stars 9.98 score 137 scripts 3 dependents

ropensci

weatherOz:An API Client for Australian Weather and Climate Data Resources

Provides automated downloading, parsing and formatting of weather data for Australia through API endpoints provided by the Department of Primary Industries and Regional Development ('DPIRD') of Western Australia and by the Science and Technology Division of the Queensland Government's Department of Environment and Science ('DES'). As well as the Bureau of Meteorology ('BOM') of the Australian government precis and coastal forecasts, and downloading and importing radar and satellite imagery files. 'DPIRD' weather data are accessed through public 'APIs' provided by 'DPIRD', <https://www.agric.wa.gov.au/weather-api-20>, providing access to weather station data from the 'DPIRD' weather station network. Australia-wide weather data are based on data from the Australian Bureau of Meteorology ('BOM') data and accessed through 'SILO' (Scientific Information for Land Owners) Jeffrey et al. (2001) <doi:10.1016/S1364-8152(01)00008-1>. 'DPIRD' data are made available under a Creative Commons Attribution 3.0 Licence (CC BY 3.0 AU) license <https://creativecommons.org/licenses/by/3.0/au/deed.en>. SILO data are released under a Creative Commons Attribution 4.0 International licence (CC BY 4.0) <https://creativecommons.org/licenses/by/4.0/>. 'BOM' data are (c) Australian Government Bureau of Meteorology and released under a Creative Commons (CC) Attribution 3.0 licence or Public Access Licence ('PAL') as appropriate, see <http://www.bom.gov.au/other/copyright.shtml> for further details.

Maintained by Rodrigo Pires. Last updated 1 months ago.

dpird bom meteorological-data weather-forecast australia weather weather-data meteorology western-australia australia-bureau-of-meteorology western-australia-agriculture australia-agriculture australia-climate australia-weather api-client climate data rainfall weather-api

1.5 match 31 stars 8.47 score 40 scripts

kjhealy

gssrdoc:Document General Social Survey Variable

The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.

Maintained by Kieran Healy. Last updated 12 months ago.

3.6 match 2.28 score 38 scripts

cran

chinese.misc:Miscellaneous Tools for Chinese Text Mining and More

Efforts are made to make Chinese text mining easier, faster, and robust to errors. Document term matrix can be generated by only one line of code; detecting encoding, segmenting and removing stop words are done automatically. Some convenient tools are also supplied.

Maintained by Jiang Wu. Last updated 5 years ago.

3.3 match 1.78 score 2 dependents