Recompose bands separating anomalies from "normal" observations
time_recompose() function is used to generate bands around the
"normal" levels of observed values. The function uses the remainder_l1
and remainder_l2 levels produced during the
and the season and trend/median_spans values from the
step to reconstruct bands around the normal values.
The following key names are required: observed:remainder from the
time_decompose() step and remainder_l1 and remainder_l2 from the
Time Series Anomaly Detection Functions (anomaly detection workflow):
library(dplyr) data(tidyverse_cran_downloads) # Basic Usage tidyverse_cran_downloads %>% time_decompose(count, method = "stl") %>% anomalize(remainder, method = "iqr") %>% time_recompose()
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