tests/testthat/_snaps/plot_anomaly_decomposition.md

In business-science/anomalize: Tidy Anomaly Detection

returns a ggplot

Code
  g <- tidyverse_cran_downloads %>% dplyr::filter(package == "tidyquant") %>%
    dplyr::ungroup() %>% time_decompose(count, method = "stl") %>% anomalize(
    remainder, method = "iqr")
Message
  frequency = 7 days
  trend = 91 days

business-science/anomalize documentation built on Jan. 28, 2024, 1:06 a.m.