pqcor_fig: Providing correlations between price and quantity of sold...

In PriceIndices: Calculating Bilateral and Multilateral Price Indexes

Providing correlations between price and quantity of sold products

Description

The function returns Pearson's correlation coefficients between price and quantity of sold products with given IDs.

Usage

pqcor_fig(data, start, end, figure = TRUE, date_breaks = "1 month", set = c())

Arguments

data	The user's data frame. It must contain columns: time (as Date in format: year-month-day, e.g. '2020-12-01'), prices (as positive numeric), quantities (as positive numeric) and prodID (as numeric, factor or character) with unique product IDs.
start	The beginning of the considered time interval (as character) limited to the year and month, e.g. "2020-03".
end	The end of the considered time interval (as character) limited to the year and month, e.g. "2020-04".
figure	A logical parameter indicating whether the function returns a figure (TRUE) or a data frame (FALSE) with price-quantity correlations.
date_breaks	A string giving the distance between breaks on the X axis like "1 month" (default value) or "4 months".
set	The set of unique product IDs to be used for determining correlation between prices and quantities of sold products (see also data_matching). If the set is empty, the function works for all products being available in period.

Value

The function returns Pearson's correlation coefficients between price and quantity of products with given IDs and sold in the time interval: <start, end>. Correlation coefficients are calculated for each month separately. Results are presented in tabular or graphical form depending on the figure parameter.

Examples

pqcor_fig(milk, start="2018-12", end="2019-12", figure=FALSE)
pqcor_fig(milk, start="2018-12", end="2019-12", figure=TRUE)

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