tests/testthat/_snaps/time_decompose.md

In business-science/anomalize: Tidy Anomaly Detection

single tbl_df

Code
  stl_tbl_time <- tidyverse_cran_downloads %>% dplyr::filter(package ==
    "lubridate") %>% dplyr::ungroup() %>% dplyr::as_tibble() %>% time_decompose(
    count, method = "stl", frequency = "auto", trend = "auto")
Message
  Converting from tbl_df to tbl_time.
  Auto-index message: index = date
  frequency = 7 days
  trend = 91 days

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