Showing 200 of total 367 results (show query)

feddelegrand7

ralger:Easy Web Scraping

The goal of 'ralger' is to facilitate web scraping in R.

Maintained by Mohamed El Fodil Ihaddaden. Last updated 8 months ago.

dataextractionwebcrawlingwebscraper-websitewebscraping

17.3 match 155 stars 7.41 score 33 scripts

rstudio

rmarkdown:Dynamic Documents for R

Convert R Markdown documents into a variety of formats.

Maintained by Yihui Xie. Last updated 4 months ago.

literate-programmingmarkdownpandocrmarkdown

5.5 match 2.9k stars 21.79 score 14k scripts 3.7k dependents

rstudio

chromote:Headless Chrome Web Browser Interface

An implementation of the 'Chrome DevTools Protocol', for controlling a headless Chrome web browser.

Maintained by Winston Chang. Last updated 3 days ago.

3.3 match 164 stars 13.82 score 162 scripts 28 dependents

pharmar

riskmetric:Risk Metrics to Evaluating R Packages

Facilities for assessing R packages against a number of metrics to help quantify their robustness.

Maintained by Eli Miller. Last updated 9 days ago.

3.5 match 167 stars 8.89 score 43 scripts

r-forge

car:Companion to Applied Regression

Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.

Maintained by John Fox. Last updated 5 months ago.

1.8 match 15.29 score 43k scripts 901 dependents

thinkr-open

togglr:'Toggl.com' Api for 'Rstudio'

Use the <https://toggl.com> time tracker api through R.

Maintained by Vincent Guyader. Last updated 1 years ago.

hacktoberfesttoggl-apitoggler

3.5 match 49 stars 6.81 score 33 scripts

fishr-core-team

FSA:Simple Fisheries Stock Assessment Methods

A variety of simple fish stock assessment methods.

Maintained by Derek H. Ogle. Last updated 2 months ago.

fishfisheriesfisheries-managementfisheries-stock-assessmentpopulation-dynamicsstock-assessment

1.8 match 68 stars 11.08 score 1.7k scripts 6 dependents

sbgraves237

Ecfun:Functions for 'Ecdat'

Functions and vignettes to update data sets in 'Ecdat' and to create, manipulate, plot, and analyze those and similar data sets.

Maintained by Spencer Graves. Last updated 4 months ago.

1.8 match 7.94 score 85 scripts 4 dependents

ropensci

babelquarto:Renders a Multilingual Quarto Book

Automate rendering and cross-linking of Quarto books following a prescribed structure.

Maintained by Maëlle Salmon. Last updated 1 months ago.

1.7 match 43 stars 7.52 score 23 scripts 1 dependents

fschaffner

websearchr:Access Domains and Search Popular Websites

Functions for accessing domains and a number of search engines.

Maintained by Florian S. Schaffner. Last updated 5 years ago.

internetsearchsearch-engineweb

3.0 match 11 stars 4.04 score 20 scripts

ropengov

europarl:Scrap Data from Europarlament's Website

Scrap data from europarlament's website.

Maintained by The package maintainer. Last updated 2 years ago.

ropengov

3.8 match 11 stars 3.04 score

ropensci

r2readthedocs:Convert R Package Documentation to a 'readthedocs' Website

Convert R package documentation to a 'readthedocs' website.

Maintained by Mark Padgham. Last updated 9 months ago.

3.5 match 16 stars 3.20 score 1 scripts

eikeluedeling

chillR:Statistical Methods for Phenology Analysis in Temperate Fruit Trees

The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Luedeling and Gassner (2012) <doi:10.1016/j.agrformet.2011.10.020>). As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses. Since version 0.70, 'chillR' contains a function for interpolating hourly temperature records.

Maintained by Eike Luedeling. Last updated 4 months ago.

cpp

1.7 match 3 stars 6.13 score 346 scripts 1 dependents

weiguonimh

mMARCH.AC:Processing of Accelerometry Data with 'GGIR' in mMARCH

Mobile Motor Activity Research Consortium for Health (mMARCH) is a collaborative network of studies of clinical and community samples that employ common clinical, biological, and digital mobile measures across involved studies. One of the main scientific goals of mMARCH sites is developing a better understanding of the inter-relationships between accelerometry-measured physical activity (PA), sleep (SL), and circadian rhythmicity (CR) and mental and physical health in children, adolescents, and adults. Currently, there is no consensus on a standard procedure for a data processing pipeline of raw accelerometry data, and few open-source tools to facilitate their development. The R package 'GGIR' is the most prominent open-source software package that offers great functionality and tremendous user flexibility to process raw accelerometry data. However, even with 'GGIR', processing done in a harmonized and reproducible fashion requires a non-trivial amount of expertise combined with a careful implementation. In addition, novel accelerometry-derived features of PA/SL/CR capturing multiscale, time-series, functional, distributional and other complimentary aspects of accelerometry data being constantly proposed and become available via non-GGIR R implementations. To address these issues, mMARCH developed a streamlined harmonized and reproducible pipeline for loading and cleaning raw accelerometry data, extracting features available through 'GGIR' as well as through non-GGIR R packages, implementing several data and feature quality checks, merging all features of PA/SL/CR together, and performing multiple analyses including Joint Individual Variation Explained (JIVE), an unsupervised machine learning dimension reduction technique that identifies latent factors capturing joint across and individual to each of three domains of PA/SL/CR. In detail, the pipeline generates all necessary R/Rmd/shell files for data processing after running 'GGIR' (v2.4.0) for accelerometer data. In module 1, all csv files in the 'GGIR' output directory were read, transformed and then merged. In module 2, the 'GGIR' output files were checked and summarized in one excel sheet. In module 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In module 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data. Reference: Guo W, Leroux A, Shou S, Cui L, Kang S, Strippoli MP, Preisig M, Zipunnikov V, Merikangas K (2022) Processing of accelerometry data with GGIR in Motor Activity Research Consortium for Health (mMARCH) Journal for the Measurement of Physical Behaviour, 6(1): 37-44.

Maintained by Wei Guo. Last updated 2 years ago.

openjdk

2.0 match 2 stars 4.41 score 26 scripts

hubverse-org

hubDevs:Utilities for Creating and Standardising Hubverse Packages

What the package does (one paragraph).

Maintained by Anna Krystalli. Last updated 2 months ago.

hubverse

1.8 match 4.43 score 3 scripts

petrbouchal

ispv:Use Czech labour market survey data

Retrieve and load data from the Czech Information System on Average Earnings (ISPV) at <https://www.ispv.cz>.

Maintained by Petr Bouchal. Last updated 9 months ago.

3.3 match 2 stars 2.00 score 5 scripts

ljvillanueva

pumilioR:Pumilio in R

R package to query and get data out of a Pumilio sound archive system (http://ljvillanueva.github.io/pumilio/).

Maintained by Luis J. Villanueva-Rivera. Last updated 11 years ago.

1.5 match 2 stars 4.00 score 7 scripts

nenuial

geovizr:Support for Knitr (Quarto/Rmd)

Provide support functions for Quarto and Rmd documents.

Maintained by Pascal Burkhard. Last updated 23 days ago.

2.3 match 2.60 score 3 scripts

jemus42

poddr:Collect Metadata for Selected Podcasts

Collecting all the data, but just for The Incomparable, Relay.fm and ATP.

Maintained by Lukas Burk. Last updated 15 days ago.

1.8 match 1 stars 2.54 score 6 scripts