A sample retail sales time series dataset with monthly observations for multiple product categories. Useful for demonstrating and testing the chronofeat package functions.
Format
A tibble with 13,986 rows and 3 columns:
- date
Date of the observation (monthly, Date class)
- items
Product category identifier (factor with 42 levels)
- value
Sales value (numeric)
Examples
if (FALSE) { # \dontrun{
# Load the data
data(retail)
# Create a TimeSeries object
ts <- TimeSeries(retail, date = "date", groups = "items", frequency = "month")
# Fit a model
m <- fit(value ~ p(12) + month(), data = ts, model = lm)
# Generate forecasts
fc <- forecast(m, h = 12)
} # }