I'm working with time series data and I'm curious what does week2, week3 and week4 refer to when using tk_augment_timeseries_signature
I'm working with the weekly data (walmart_sales_weekly) from the timetk package:
data_tbl <- timetk::walmart_sales_weekly %>%
select(id, Date, Weekly_Sales) %>%
mutate(id = as.factor(id)) %>%
set_names(c("id", "date", "value")) %>%
filter(id == "1_95") %>%
mutate(value = log1p(x = value)) %>%
mutate(value = standardize_vec(value)) %>%
tk_augment_timeseries_signature(.date_var = date) %>%
select(-diff, -matches("(.xts$)|(.iso$)|(hour)|(minute)|(second)|(am.pm)|(wday)|(day)|(mweek)"))
The help documentation i.e. ?tk_augment_timeseries_signature makes no reference to these features
Based on the vignette in their github page, they are referring to the different frequency based upon the
weektime feature (week2for bi-weekly frequency,week3for tri-weekly frequency). They are created through the use ofmodulus.