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rtd3

Rt visualisation in D3

https://github.com/epiforecasts/rtd3

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
    Found 3 DOI reference(s) in README
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    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (13.6%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Rt visualisation in D3

Basic Info
  • Host: GitHub
  • Owner: epiforecasts
  • License: other
  • Language: JavaScript
  • Default Branch: master
  • Homepage: https://epiforecasts.io/RtD3/
  • Size: 37.3 MB
Statistics
  • Stars: 6
  • Watchers: 4
  • Forks: 2
  • Open Issues: 6
  • Releases: 0
Created almost 6 years ago · Last pushed about 4 years ago
Metadata Files
Readme License

README.md

Rt visualization in D3

Travis build status Codecov test coverage Documentation Zenodo

Create interactive visualisations of Rt estimates using D3.js (Gibbs et al. (2020)). Developed primarily targeting Rt estimates generated by the EpiNow2 package, RtD3 aims to make simple, beautiful visualisations that help researchers explore their results and share them with others.RtD3 provides an interface for the JavaScript library rt_vis.

Installation

Install from CRAN with:

r install.packages("RtD3")

Install the stable development version of the package from our r-universe:

r install.packages( "RtD3", repos = c(ropensci = 'https://epiforecasts.r-universe.dev', CRAN = 'https://cloud.r-project.org') )

Or from Github:

r remotes::install_github("epiforecasts/RtD3")

Quickstart

Spatial data is passed to RtD3 as an sf object. Use the rnaturalearth package for quick access to global and national spatial data.

Rt estimates are available from epiforecasts covid-rt-estimates in the format expected by this package. Use the helper function readInEpiNow2 to generate the summary widget with existing estimates.

``` r geoData = rnaturalearth::ne_countries(returnclass = 'sf')

rtData <- list("Cases" = readInEpiNow2( path = "https://raw.githubusercontent.com/epiforecasts/covid-rt-estimates/master/national/cases/summary", region_var = "country"))

summaryWidget(geoData = geoData, rtData = rtData) ```

Development

Comments and contributions to this package are welcome. To record a problem with the package, please create an issue on Github.

Owner

  • Name: Epiforecasts
  • Login: epiforecasts
  • Kind: organization
  • Email: sebastian.funk@lshtm.ac.uk
  • Location: London

Researchers at the London School of Hygiene & Tropical Medicine doing research to forecast infectious diseases and perform real-time analyses.

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 154
  • Total Committers: 3
  • Avg Commits per committer: 51.333
  • Development Distribution Score (DDS): 0.377
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
hamishgibbs h****s@g****m 96
seabbs s****2@g****m 57
Hugo Gruson B****o 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 28
  • Total pull requests: 27
  • Average time to close issues: 11 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 2.61
  • Average comments per pull request: 0.96
  • Merged pull requests: 26
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • seabbs (15)
  • hamishgibbs (13)
Pull Request Authors
  • hamishgibbs (19)
  • seabbs (7)
  • Bisaloo (1)
Top Labels
Issue Labels
enhancement (3) question (2) documentation (1) bug (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 193 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: RtD3

Rt Visualization in D3

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 193 Last month
Rankings
Forks count: 17.4%
Stargazers count: 20.9%
Dependent repos count: 24.7%
Average: 28.3%
Dependent packages count: 28.4%
Downloads: 50.2%
Maintainers (1)
lshhg2@lshtm.ac.uk
Last synced: about 1 year ago

Dependencies

DESCRIPTION cran
  • data.table * imports
  • geojsonsf * imports
  • htmlwidgets * imports
  • jsonlite * imports
  • purrr * imports
  • covr * suggests
  • dplyr * suggests
  • knitr * suggests
  • rgeos * suggests
  • rnaturalearth * suggests
  • sf * suggests
  • spelling * suggests
  • testthat * suggests