dataMARS

An artificial scanner data set of shirt sales.

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

dataMARS function

A data frame with 9 columns and 44 rows. The used variables are as follows:
<code>time</code> - Dates of transactions (Year-Month-Day)
<code>prices</code> - Prices of sold products [PLN]
<code>quantities</code> - Quantities of sold products [liters]
<code>prodID</code> - Unique product identifiers (data set contains 28 different prodIDs)
<code>description</code> - Descriptions (labels) of sold shirts (data set contains 12 different descriptions)
<code>brand</code> - Brand of sold shirts (data set contains 2 different brands: X and Y)
<code>gender</code> - Gender of the person for whom the shirt is dedicated (M or F)
<code>size</code> - Size of shirts (M, L, and XL)
<code>fabric</code> - Fabric of shirts (cotton, polyester, blend)

dataMARS: An artificial scanner data set for testing the MARS method

Description

Usage

Arguments

Format