dataMARS: An artificial scanner data set for testing the MARS method
In PriceIndices: Calculating Bilateral and Multilateral Price Indexes
dataMARS R Documentation
An artificial scanner data set for testing the MARS method
Description
An artificial scanner data set of shirt sales.
Usage
dataMARS
Format
A data frame with 9 columns and 44 rows. The used variables are as follows:
time - Dates of transactions (Year-Month-Day)
prices - Prices of sold products [PLN]
quantities - Quantities of sold products [liters]
prodID - Unique product identifiers (data set contains 28 different prodIDs)
description - Descriptions (labels) of sold shirts (data set contains 12 different descriptions)
brand - Brand of sold shirts (data set contains 2 different brands: X and Y)
gender - Gender of the person for whom the shirt is dedicated (M or F)
size - Size of shirts (M, L, and XL)
fabric - Fabric of shirts (cotton, polyester, blend)
PriceIndices documentation built on Nov. 7, 2025, 5:12 p.m.
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| dataMARS | R Documentation |
An artificial scanner data set for testing the MARS method
Description
An artificial scanner data set of shirt sales.
Usage
dataMARS
Format
A data frame with 9 columns and 44 rows. The used variables are as follows:
time - Dates of transactions (Year-Month-Day)
prices - Prices of sold products [PLN]
quantities - Quantities of sold products [liters]
prodID - Unique product identifiers (data set contains 28 different prodIDs)
description - Descriptions (labels) of sold shirts (data set contains 12 different descriptions)
brand - Brand of sold shirts (data set contains 2 different brands: X and Y)
gender - Gender of the person for whom the shirt is dedicated (M or F)
size - Size of shirts (M, L, and XL)
fabric - Fabric of shirts (cotton, polyester, blend)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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