mtrends: 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, for mutliple (or single) locations

Description

function to visualize different indicators for trends in daily changes of cases reported as time series data, for mutliple (or single) locations

Usage

mtrends(data, geo.loc = NULL, confBnd = TRUE, info = "")

Arguments

data	data.frame with *time series* data from covid19
geo.loc	list of locations
confBnd	flag to activate/deactivate drawing of confidence bands base on a moving average window
info	additional info to display in the plot

Examples

# triggers CRAN checks for timing
## Not run: 
ts.data <- covid19.data("ts-confirmed")
mtrends(ts.data, geo.loc=c("Canada","Ontario","Uruguay","Italy"))

## End(Not run)

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