argo (version 3.0.2)

plot_argo: Time series plot of ARGO applied on CDC's ILI data

Description

This function is used to reproduce the ARGO plot.

Usage

plot_argo(GFT_xts, GC_GT_cut_date, model_names, legend_names, zoom_periods)

Value

a graph on the default plot window

Arguments

GFT_xts

dataframe with all predicted values

GC_GT_cut_date

cutting date for switching datasets

model_names

name of predicting models

legend_names

legend for predicting models

zoom_periods

vector of periods to zoom into

Examples

GFT_xts = xts::xts(exp(matrix(rnorm(1000), ncol=5)), order.by = Sys.Date() - (200:1))
names(GFT_xts) <- paste0("col", 1:ncol(GFT_xts))
names(GFT_xts)[1] <- "CDC.data"
zoom_periods = c()
for (i in 0:5){
  zoom_periods = c(
    zoom_periods,
    paste0(zoo::index(GFT_xts)[i*30+1], "/", zoo::index(GFT_xts)[i*30+30])
  )
}
plot_argo(
  GFT_xts = GFT_xts,
  GC_GT_cut_date = zoo::index(GFT_xts)[50],
  model_names = colnames(GFT_xts)[-1],
  legend_names = paste0(colnames(GFT_xts)[-1], "legend"),
  zoom_periods = zoom_periods
)