dataAGGR

A collection of artificial scanner data on milk products sold in three different months

datasets

Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020)
<doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.

Jacek Bia<c5><82>ek

PriceIndices

Calculating Bilateral and Multilateral Price Indexes

dataAGGR function

A data frame with 6 columns and 9 rows. The used variables are as follows:
<code>time</code> - Dates of transactions (Year-Month-Day: 4 different dates)
<code>prices</code> - Prices of sold products [PLN]
<code>quantities</code> - Quantities of sold products [l]
<code>prodID</code> - Retailer product codes (3 prodIDs)
<code>retID</code> - Unique codes identifying outlets/retailer sale points (4 retIDs)
<code>description</code> Descriptions of sold products (two subgroups: goat milk, powdered milk)

dataAGGR: A small artificial scanner data set for a demonstration of data aggregation

Description

Usage

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Format