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Construct Reproducible Analytic Data Sets as R Packages
A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual 'R CMD build' process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled on 'GitHub', and used to share data for manuscripts, collaboration and reproducible research.
Calculate Slopes of Roads, Rivers and Trajectories
Calculates the slope (longitudinal gradient or steepness)
of linear geographic features such as roads (for more details, see Ariza-López et al. (2019)
Evaluate Clinical Prediction Models by Net Monetary Benefit
Estimates when and where a model-guided treatment strategy may
outperform a treat-all or treat-none approach by Monte Carlo simulation and
evaluation of the Net Monetary Benefit. Details can be viewed in
Parsons et al. (2023)
Parse Messy Geographic Coordinates
Parse messy geographic coordinates from various character formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.
Accesses Weather Data from the Iowa Environment Mesonet
Allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
'Microsoft Academic' API Client
The 'Microsoft Academic Knowledge' API provides programmatic access to scholarly articles in the 'Microsoft Academic Graph' (< https://academic.microsoft.com/>). Includes methods matching all 'Microsoft Academic' API routes, including search, graph search, text similarity, and interpret natural language query string.
Read Data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) and Australian Bureau of Statistics (ABS)
Download and import agricultural data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) < https://www.agriculture.gov.au/abares> and Australian Bureau of Statistics (ABS) < https://www.abs.gov.au>. Data types serviced include spreadsheets, comma separated value (CSV) files, geospatial data including shape files and geotiffs covering topics including broadacre crops, livestock, soil data, commodities and more. Unifies field names and formats for data interoperability making analysis easier by standardising names between data formats. Also simplifies importing geospatial data as well as correcting issues in the geospatial data upon import.
Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML'
Setup, run and analyze 'NetLogo' (< https://www.netlogo.org>) model simulations in 'R'. 'nlrx' experiments use a similar structure as 'NetLogos' Behavior Space experiments. However, 'nlrx' offers more flexibility and additional tools for running and analyzing complex simulation designs and sensitivity analyses. The user defines all information that is needed in an intuitive framework, using class objects. Experiments are submitted from 'R' to 'NetLogo' via 'XML' files that are dynamically written, based on specifications defined by the user. By nesting model calls in future environments, large simulation design with many runs can be executed in parallel. This also enables simulating 'NetLogo' experiments on remote high performance computing machines. In order to use this package, 'Java' and 'NetLogo' (>= 5.3.1) need to be available on the executing system.
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.
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.