PriceIndices (version 0.0.6)

QU: Calculating the quality adjusted unit value index (QU index)

Description

This function returns a value of the quality adjusted unit value index (QU index) for a given set of adjustment factors.

Usage

QU(data, start, end, v)

Arguments

data

The user's data frame with information about sold products. 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).

start

The base period (as character) limited to the year and month, e.g. "2020-03".

end

The research period (as character) limited to the year and month, e.g. "2020-04".

v

The data frame with adjustment factors for at least all matched prodIDs. It must contain two columns: prodID (as numeric or character) with unique product IDs and values (as positive numeric) with corresponding adjustment factors.

Value

This function returns a value of the quality adjusted unit value index (QU index) for a given set of adjustment factors (adjusted factors must be available for all matched prodIDs).

References

Chessa, A.G. (2016). A New Methodology for Processing Scanner Data in the Dutch CPI. Eurona 1/2016, 49-69.

Examples

# NOT RUN {
## Creating a data frame with artificial adjustment factors 
## (random numbers from uniform distribution U[1,2])
# }
# NOT RUN {
prodID<-unique(milk$prodID)
# }
# NOT RUN {
values<-stats::runif(length(prodID),1,2)
# }
# NOT RUN {
v<-data.frame(prodID,values)
# }
# NOT RUN {
## Calculating the QU index for the created data frame 'v'
# }
# NOT RUN {
QU(milk, start="2018-12", end="2019-12", v)
# }