PriceIndices (version 0.2.3)

compare_distances: Calculating distances between price indices

Description

The function calculates distances between price indices

Usage

compare_distances(
  data = data.frame(),
  measure = "MAD",
  pp = TRUE,
  first = FALSE,
  prec = 3
)

Value

The function calculates average distances between price indices and it returns a data frame with these values for each pair of price indices.

Arguments

data

A data frame containg values of indices which are to be compared

measure

A parameter specifying what measure should be used to compare the indexes. Possible parameter values are: "MAD" (Mean Absolute Distance) or "RMSD" (Root Mean Square Distance).

pp

Logical parameter indicating whether the results are to be presented in percentage points (then pp = TRUE).

first

A logical parameter that determines whether the first row of the data frame is to be taken into account when calculating the distance between the indices (then first = TRUE). Usually, the first row concerns the index values for the base period - all indexes are then set to one.

prec

Parameter that determines how many decimal places are to be used in the presentation of results.

Examples

#Creating a data frame with unweighted bilateral index values
df<-price_indices(milk, 
formula=c("jevons","dutot","carli"), 
start="2018-12", end="2019-12",interval=TRUE)
#Calculating average distances between indices (in p.p)
compare_distances(df)