Create interactive visualisations of Rt estimates using D3.js (Gibbs et al. (2020) doi:10.5281/zenodo.4011842). Developed with Rt estimates generated by the EpiNow2 package, RtD3 aims to make simple, beautiful visualisations that help researchers explore their results and share them results with others.RtD3 provides an interface for the JavaScript library rt_vis.

Installation

Install from CRAN with:

Install the development version of this package with:

remotes::install_github("hamishgibbs/RtD3")

Quickstart

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.


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

summaryWidget(rtData = rtData)

Optionally, a map can be included using data from the rnaturalearth package.


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

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.