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library(fpp3) #> Registered S3 method overwritten by 'tsibble': #> method from #> as_tibble.grouped_df dplyr #> ── Attaching packages ─────────────────────────────────────── fpp3 1.0.1.9000 ── #> ✔ tibble 3.2.1 ✔ tsibble 1.1.6 #> ✔ dplyr 1.1.4 ✔ tsibbledata 0.4.1.9000 #> ✔ tidyr 1.3.1 ✔ feasts 0.4.1.9000 #> ✔ lubridate 1.9.4 ✔ fable 0.4.1.9000 #> ✔ ggplot2 3.5.1 #> ── Conflicts ───────────────────────────────────────────────── fpp3_conflicts ── #> ✖ lubridate::date() masks base::date() #> ✖ dplyr::filter() masks stats::filter() #> ✖ tsibble::intersect() masks base::intersect() #> ✖ tsibble::interval() masks lubridate::interval() #> ✖ dplyr::lag() masks stats::lag() #> ✖ tsibble::setdiff() masks base::setdiff() #> ✖ tsibble::union() masks base::union() jan_vic_elec <- vic_elec |> filter(yearmonth(Time) == yearmonth("2014 Jan")) |> index_by(Date = as_date(Time)) |> summarise(Demand = sum(Demand), Temperature = max(Temperature)) fit <- jan_vic_elec |> model(TSLM(Demand ~ Temperature)) next_day_cold <- new_data(jan_vic_elec, 1) |> mutate(Temperature = 15) f_cold <- fit |> forecast(next_day_cold) |> mutate(Scenario = "Cold day") |> as_fable(key = Scenario) next_day_hot <- new_data(jan_vic_elec, 1) |> mutate(Temperature = 35) f_hot <- fit |> forecast(next_day_hot) |> mutate(Scenario = "Hot day") |> as_fable(key = Scenario) jan_vic_elec |> autoplot(Demand) + autolayer(bind_rows(f_cold, f_hot)) #> Error in `fill_alpha()`: #> ! fill must be a vector of colours or list of <GridPattern> objects.
Created on 2025-02-04 with reprex v2.1.1
The text was updated successfully, but these errors were encountered:
3f3ce99
Fixed, thanks.
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Created on 2025-02-04 with reprex v2.1.1
The text was updated successfully, but these errors were encountered: