diff --git a/man/step_adjust_latency.Rd b/man/step_adjust_latency.Rd
index 0078de10..53098504 100644
--- a/man/step_adjust_latency.Rd
+++ b/man/step_adjust_latency.Rd
@@ -267,8 +267,8 @@ while this will not:
\if{html}{\out{
}}\preformatted{toy_recipe <- epi_recipe(toy_df) \%>\%
step_epi_lag(a, lag=0) \%>\%
step_adjust_latency(a, method = "extend_lags")
-#> Warning: If `method` is "extend_lags" or "locf", then the previous `step_epi_lag`s won't
-#> work with modified data.
+#> Warning: If `method` is "extend_lags" or "locf", then the previous `step_epi_lag`s won't work with
+#> modified data.
}\if{html}{\out{
}}
If you create columns that you then apply lags to (such as
diff --git a/vignettes/backtesting.Rmd b/vignettes/backtesting.Rmd
index 152b2460..765a684f 100644
--- a/vignettes/backtesting.Rmd
+++ b/vignettes/backtesting.Rmd
@@ -385,8 +385,7 @@ canada_archive_faux <- epix_as_of(canada_archive, canada_archive$versions_end) %
smooth_cases <- function(epi_df) {
epi_df %>%
group_by(geo_value) %>%
- epi_slide_mean("case_rate", .window_size = 7, na.rm = TRUE) %>%
- rename(cr_7dav = slide_value_case_rate)
+ epi_slide_mean("case_rate", .window_size = 7, na.rm = TRUE, .suffix = "_{.n}dav")
}
forecast_dates <- seq.Date(
from = min(canada_archive$DT$version),
@@ -401,8 +400,8 @@ canada_forecasts <- bind_rows(
~ forecast_k_week_ahead(
canada_archive_faux,
ahead = .x,
- outcome = "cr_7dav",
- predictors = "cr_7dav",
+ outcome = "case_rate_7dav",
+ predictors = "case_rate_7dav",
forecast_dates = forecast_dates,
process_data = smooth_cases
) %>% mutate(version_aware = FALSE)
@@ -412,8 +411,8 @@ canada_forecasts <- bind_rows(
~ forecast_k_week_ahead(
canada_archive,
ahead = .x,
- outcome = "cr_7dav",
- predictors = "cr_7dav",
+ outcome = "case_rate_7dav",
+ predictors = "case_rate_7dav",
forecast_dates = forecast_dates,
process_data = smooth_cases
) %>% mutate(version_aware = TRUE)
@@ -435,7 +434,7 @@ case_rate_data <- bind_rows(
~ canada_archive %>%
epix_as_of(.x) %>%
smooth_cases() %>%
- mutate(case_rate = cr_7dav, version = .x)
+ mutate(case_rate = case_rate_7dav, version = .x)
) %>%
bind_rows() %>%
mutate(version_aware = TRUE),
@@ -443,7 +442,7 @@ case_rate_data <- bind_rows(
canada_archive %>%
epix_as_of(doctor_visits$versions_end) %>%
smooth_cases() %>%
- mutate(case_rate = cr_7dav, version_aware = FALSE)
+ mutate(case_rate = case_rate_7dav, version_aware = FALSE)
) %>%
filter(geo_value == geo_choose)