Description Usage Arguments Details Value Author(s) See Also Examples
Calculates a Laspeyres, Paasche or Fisher Quantity index.
1 2 |
prices |
Vector that contains the names of the prices. |
quantities |
Vector that contains the names of the quantities that
belong to the |
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 ' |
weights |
logical. Should an attribute 'weights' that contains the relatives weights of each quantity be added? |
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.
If any values used for calculating the quantity index (e.g. current quantities, base quantities, current prices or base prices) are not available (NA), they are ignored (only) if they are multiplied by zero.
a vector containing the quantity indices.
Arne Henningsen
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | data( Missong03E7.7, package = "micEcon" )
# 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, package = "micEcon" )
# 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" )
|
1986 1987 1988 1989
1.0000000 0.9706006 0.8833432 0.7429413
1986 1987 1988 1989
1.0000000 0.9705765 0.8833112 0.7427030
1970 1974 1978
1.000000 1.215385 1.546154
1970 1974 1978
1.000000 1.132931 1.474185
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