iceberg.plot: Graph the observed and estimated COVID-19 infections using an...
In liamrevell/covid19.Explorer: A COVID-19 Explorer

iceberg.plot

R Documentation

Graph the observed and estimated COVID-19 infections using an iceberg style graph

Description

Function to graph observed (above the 'waterline') and unobserved estimated (below it) COVID-19 cases in the United States and its jurisdictions.

Usage

	iceberg.plot(
		state="United States",
		data=list(),
		delay=20,
		ifr=0.005,
		window=3,
		smooth=TRUE,
		span=c(0.12,0.3),
		bg="transparent",
		xlim=c(60,366+135),
		alpha=0.5,
		cdr=c("sigmoid","average"),
		...)

Arguments

`state`	state or jurisdiction.
`data`	list containing CDC data. If not supplied, function will create this object.
`delay`	average lag from infection to death.
`ifr`	infection-fatality-ratio/rate or function. If more than one value is specified, IFR is interpolated using LOESS smoothing.
`span`	values of `span` to be passed to `loess`. First value is for infections through time. Second value is for IFR if applicable.
`window`	window for moving average.
`smooth`	smooth estimated infections (logical).
`bg`	background color for plots.
`xlim`	x-limits for the plot.
`alpha`	alpha transparency level for transparent elements of the plot.
`cdr`	model for case detection rate (CDR) through time.
`...`	optional arguments.