calendar_plot: Create calendar plot
In eesim: Simulate and Evaluate Time Series for Environmental Epidemiology

Description Usage Arguments Details Examples

Creates a calendar plot of a time series of continuous or discrete data. The time series data frame input to this function must have only two columns, one for the date and one with the values to plot.

1 2	calendar_plot(df, type = "continuous", labels = NULL, legend_name = "Exposure")

`df`	Data frame with one column named `date` for date with entries in the format "yyyy-mm-dd" and one column for the daily values of the variable to plot.
`type`	Character string specifying whether the exposure is continuous or discrete
`labels`	Vector of character strings naming the levels of a discrete variable to be used in the figure legend.
`legend_name`	Character string specifying the title to be used in the figure legend.

The output of this function is a ggplot object, so you can customize this output object as with any ggplot object.

testdat <- sim_exposure(n = 1000, central = 0.1,
           exposure_type = "binary")
testdat$x[c(89,101,367,500,502,598,678,700,895)] <- 3
calendar_plot(testdat, type = "discrete", labels = c("no", "yes", "maybe"))