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Merge pull request #15 from lzlzlizi/main
Change config for Canada
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vignettes/simple-forecasts.Rmd

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@@ -177,36 +177,48 @@ can <- readRDS(
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) %>%
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group_by(version, geo_value) %>%
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arrange(time_value) %>%
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mutate(cr_7dav = RcppRoll::roll_meanr(case_rate, n = 7L))
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mutate(cr_7dav = RcppRoll::roll_meanr(case_rate, n = 7L)) #%>%
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#filter(geo_value %in% c('Alberta', "BC"))
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can <- as_epi_archive(can)
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can_latest <- epix_as_of(can, max_version = max(can$DT$version))
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can_k_week_ahead <- function(ahead = 7) {
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can %>%
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epix_slide(fc = arx_forecaster(
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y = cr_7dav, key_vars = geo_value, time_value = time_value,
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args = arx_args_list(ahead = ahead)),
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n = 120, ref_time_values = fc_time_values, group_by = geo_value) %>%
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mutate(target_date = time_value + ahead)
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can_k_week_ahead <- function(x, ahead = 7, as_of = TRUE) {
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if(as_of){
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can %>%
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epix_slide(fc = arx_forecaster(
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y = cr_7dav, key_vars = geo_value, time_value = time_value,
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args = arx_args_list(intercept = FALSE,ahead = ahead)),
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n = 120, ref_time_values = fc_time_values) %>%
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mutate(target_date = time_value + ahead, geo_value = fc_key_vars, as_of = as_of)
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}
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else{
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can_latest %>%
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epi_slide(fc = arx_forecaster(
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y = cr_7dav, key_vars = geo_value, time_value = time_value,
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args = arx_args_list(intercept = FALSE,ahead = ahead)),
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n = 120, ref_time_values = fc_time_values) %>%
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mutate(target_date = time_value + ahead, geo_value = fc_key_vars, as_of = as_of)
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}
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}
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can_fc <- purrr:::map_dfr(c(7,14,21,28), ~ can_k_week_ahead(.x))
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can_fc <- bind_rows(purrr:::map_dfr(c(7,14,21,28), ~ can_k_week_ahead(can, ahead = .x, as_of = TRUE)),
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purrr:::map_dfr(c(7,14,21,28), ~ can_k_week_ahead(can_latest, ahead = .x, as_of = FALSE)))
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```
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The figure below shows the results for all of the provinces. Note that we are showing the 7-day averages rather than the reported case numbers due to highly variable provincial reporting mismatches.
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```{r plot-can-fc, message = FALSE, warning = FALSE, fig.width = 9, fig.height = 12}
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can_latest <- epix_as_of(can, max_version = max(x$DT$version))
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ggplot(can_fc, aes(x = target_date, group = time_value)) +
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coord_cartesian(xlim = lubridate::ymd(c("2020-12-01", NA))) +
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geom_line(data = can_latest, aes(x = time_value, y = cr_7dav),
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inherit.aes = FALSE, color = "gray50") +
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geom_ribbon(aes(ymin = fc_q0.05, ymax = fc_q0.95, fill = geo_value), alpha = 0.4) +
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geom_line(aes(y = fc_point)) + geom_point(aes(y = fc_point), size = 0.5) +
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geom_vline(aes(xintercept = time_value), linetype = 2, alpha = 0.5) +
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facet_wrap(~geo_value, scales = "free", ncol = 3) +
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facet_wrap(paste('as_of: ', as_of)~geo_value,scales = "free",ncol = 4) +
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scale_x_date(minor_breaks = "month", date_labels = "%b %y") +
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labs(x = "Date", y = "Reported COVID-19 case rates") +
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theme(legend.position = "none")
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theme(legend.position = "none")
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```
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## Goals for `epipredict`

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