single.trend: function to visualize different indicators for trends in...

In covid19.analytics: Load and Analyze Live Data from the COVID-19 Pandemic

function to visualize different indicators for trends in daily changes of cases reported as time series data

Description

function to visualize different indicators for trends in daily changes of cases reported as time series data

Usage

single.trend(ts.data, confBnd = TRUE, info = "")

Arguments

ts.data	time series data
confBnd	optional argument to remove the drawing of a confidence band
info	addtional information to display in plots

Examples

tor.data <- covid19.Toronto.data()
single.trend(tor.data[tor.data$status=="Active Cases",]) 


ts.data <- covid19.data("ts-confirmed")
ont.data <- ts.data[ ts.data$Province.State == "Ontario",]
single.trend(ont.data)

single.trend(ts.data[ ts.data$Country.Region=="Italy",])

covid19.analytics documentation built on Oct. 16, 2023, 1:06 a.m.