It's often convenient to decompose an index into the (additive)
contribution of each price relative, also known as the percent-change
contribution. This can be done with the same work flow used in
vignette("piar")
, specifying contrib = TRUE
when calling
elemental_index()
.
library(piar) # Make an aggregation structure. ms_weights[c("level1", "level2")] <- expand_classification(ms_weights$classification) pias <- ms_weights[c("level1", "level2", "business", "weight")] |> as_aggregation_structure() # Make elemental index with contributions. elementals <- ms_prices |> transform( relative = price_relative(price, period = period, product = product) ) |> elemental_index( relative ~ period + business, product = product, na.rm = TRUE, contrib = TRUE )
As with index values, percent-change contributions for a given level of the index can be extracted as a matrix.
contrib(elementals, level = "B1")
Or as a data frame.
contrib2DF(elementals, level = "B1")
Aggregating the elemental indexes automatically aggregates percent-change contributions, so no extra steps are needed after the elemental indexes are made.
index <- aggregate(elementals, pias, na.rm = TRUE) contrib(index)
After an index has been calculated, it's often useful to compute the contribution of higher-level indexes towards the total index. The easiest way to do this with a collection of pre-computed index values is to simply coerce them into an index object with the index values as contributions and reaggregate with a restricted aggregation structure.
index <- as_index(as.matrix(index), contrib = TRUE)
If the index values are already an index object, it's also possible to
directly replace the contributions with the set_contrib_from_index()
function.
We can now cut the aggregation structure to keep only the top two levels and
reaggregate to get the contribution of the second-level indexes to the
top level index.
set_contrib_from_index(index) |> aggregate(cut(pias, 2)) |> contrib()
The same approach works with a fixed-base index as well.
chain(index) |> set_contrib_from_index() |> aggregate(cut(pias, 2)) |> contrib()
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