data_aggregating: Aggregating the user's data frame

In PriceIndices: Calculating Bilateral and Multilateral Price Indexes

Aggregating the user's data frame

Description

The function aggregates the user's data frame over time and optionally over outlets.

Usage

data_aggregating(data, join_outlets = TRUE)

Arguments

data	The user's data frame.
join_outlets	A logical value indicating whether the data aggregation over outlets should be also done.

Value

The function aggregates the user's data frame over time and/or over outlets. Consequently, we obtain monthly data, where the unit value is calculated instead of a price for each prodID observed in each month (the time column gets the Date format: "Year-Month-01"). If the parameter join_outlets is TRUE, then the function also performs aggregation over outlets (retIDs) and the retID column is removed from the data frame. The main advantage of using this function is the ability to reduce the size of the data frame and the time needed to calculate the price index. Please note, that unnecessary columns are removed (e.g. description).

Examples

#Example 1
data_aggregating(dataAGGR,join_outlets = FALSE)
data_aggregating(dataAGGR,join_outlets = TRUE)
#Example 2 (data frame reduction)
nrow(milk)
nrow(data_aggregating(milk))

PriceIndices documentation built on July 9, 2023, 6:20 p.m.