quantityIndex: Calculate Quantity Indices

Description

Calculates a Laspeyres, Paasche or Fisher Quantity index.

Usage

quantityIndex( prices, quantities, base, data, method = "Laspeyres",
   na.rm = FALSE, na.0 = FALSE, weights = FALSE )

Arguments

prices

Vector that contains the names of the prices.

quantities

Vector that contains the names of the quantities that belong to the prices.

base

The base period(s) to calculate the indices (see details).

data

Dataframe that contains the prices and quantities.

method

Which quantity index: "Laspeyres", "Paasche" or "Fisher".

na.rm

a logical value passed to 'mean()' when calculating the base.

na.0

logical. Setting all NA values to 0 (after calculating the base)?

weights

logical. Should an attribute 'weights' that contains the relatives weights of each quantity be added?

Value

a vector containing the quantity indices.

Details

The argument base can be either (a) a single number: the row number of the base prices and quantities, (b) a vector indicating several observations: The means of these observations are used as base prices and quantities, or (c) a logical vector with the same length as the data: The means of the observations indicated as 'TRUE' are used as base prices and quantities.

Examples

Run this code

data( Missong03E7.7 )
   # Laspeyres Quantity Indices
   quantityIndex( c( "p.beef", "p.veal", "p.pork" ),
      c( "q.beef", "q.veal", "q.pork" ), 1, Missong03E7.7 )
   # Paasche Quantity Indices
   quantityIndex( c( "p.beef", "p.veal", "p.pork" ),
      c( "q.beef", "q.veal", "q.pork" ), 1, Missong03E7.7, "Paasche" )

   data( Bleymueller79E25.1 )
   # Laspeyres Quantity Indices
   quantityIndex( c( "p.A", "p.B", "p.C", "p.D" ), c("q.A", "q.B", "q.C", "q.D" ),
      1, Bleymueller79E25.1 )
   # Paasche Quantity Indices
   quantityIndex( c( "p.A", "p.B", "p.C", "p.D" ), c("q.A", "q.B", "q.C", "q.D" ),
      1, Bleymueller79E25.1, "Paasche" )