output$highchart_cases_dual_baseline <- renderHighchart({
req(simul_baseline$baseline_available)
req(simul_interventions$interventions_available)
dta <- left_join(tibble(daily_incidence = simul_baseline$results$med$daily_incidence,
daily_total_cases = simul_baseline$results$med$daily_total_cases,
time = simul_baseline$results$time),
cases_rv$data,
by = c("time" = "date"))
if (!input$show_all_days) dta <- dta %>% filter(wday(time) == 4)
# X/Y scales
if(input$focus_axis_dup == "Observed") {
max_x <- dta$time[last(which(!is.na(dta$cases)))]
max_y <- 1.2 * max(dta$cases, na.rm = TRUE)
}
if(input$focus_axis_dup == "Predicted Reported") {
max_x <- max(dta$time)
max_y <- 1.2 * max(simul_baseline$results$med$daily_incidence, simul_interventions$results$med$daily_incidence, na.rm = TRUE)
}
if(input$focus_axis_dup == "Predicted Reported + Unreported") {
max_x <- max(dta$time)
max_y <- 1.2 * max(simul_baseline$results$med$daily_total_cases, simul_interventions$results$med$daily_total_cases, na.rm = TRUE)
}
dta2 <- dta %>%
rename(Date = time) %>%
filter(Date <= max_x)
return(
hchart(dta2, "area", name = "Reported", hcaes(x = Date, y = daily_incidence), color = "#00441b") %>%
hc_add_series(dta2, type = 'area', name = "Reported + Unreported", hcaes(y = daily_total_cases, x = Date), color = "#74c476", dashStyle = "longdash") %>%
hc_add_series(dta2, type = 'line', name = "Observed", hcaes(y = cases, x = Date), color = "red") %>%
hc_tooltip(pointFormat = "<span style=\"color:{series.color}\">{series.name}</span>:
{point.y:,.0f}<br/>", shared = TRUE) %>%
hc_title(text = "Baseline Cases") %>%
hc_yAxis(max = max_y, title = "Cases") %>%
hc_xAxis(title = "") %>%
hc_exporting(enabled = TRUE, buttons = list(contextButton = list(menuItems = hc_export_items)))
)
})
output$highchart_cases_dual_interventions <- renderHighchart({
req(simul_baseline$baseline_available)
req(simul_interventions$interventions_available)
dta <- left_join(tibble(daily_incidence = simul_interventions$results$med$daily_incidence,
daily_total_cases = simul_interventions$results$med$daily_total_cases,
time = simul_interventions$results$time),
cases_rv$data,
by = c("time" = "date"))
if (!input$show_all_days) dta <- dta %>% filter(wday(time) == 4)
# X/Y scales
if(input$focus_axis_dup == "Observed") {
max_x <- dta$time[last(which(!is.na(dta$cases)))]
max_y <- 1.2 * max(dta$cases, na.rm = TRUE)
}
if(input$focus_axis_dup == "Predicted Reported") {
max_x <- max(dta$time)
max_y <- 1.2 * max(simul_baseline$results$med$daily_incidence, simul_interventions$results$med$daily_incidence, na.rm = TRUE)
}
if(input$focus_axis_dup == "Predicted Reported + Unreported") {
max_x <- max(dta$time)
max_y <- 1.2 * max(simul_baseline$results$med$daily_total_cases, simul_interventions$results$med$daily_total_cases, na.rm = TRUE)
}
dta2 <- dta %>%
rename(Date = time) %>%
filter(Date <= max_x)
return(
hchart(dta2, "area", name = "Reported", hcaes(x = Date, y = daily_incidence), color = "#08306b") %>%
hc_add_series(dta2, type = 'area', name = "Reported + Unreported", hcaes(y = daily_total_cases, x = Date), color = "#6baed6", dashStyle = "longdash") %>%
hc_add_series(dta2, type = 'line', name = "Observed", hcaes(y = cases, x = Date), color = "red") %>%
hc_tooltip(pointFormat = "<span style=\"color:{series.color}\">{series.name}</span>:
{point.y:,.0f}<br/>", shared = TRUE) %>%
hc_title(text = "Hypothetical Scenario Cases") %>%
hc_yAxis(max = max_y, title = "Cases") %>%
hc_xAxis(title = "") %>%
hc_exporting(enabled = TRUE, buttons = list(contextButton = list(menuItems = hc_export_items)))
)
})
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