pqcor_fig {PriceIndices} | R Documentation |
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: |
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 |
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)