Coerce an aggregation structure into a tabular form
Source:R/coerce-aggregation_structure.R
as.matrix.piar_aggregation_structure.Rd
Coerce a price index aggregation structure into an aggregation matrix, or a data frame.
Usage
# S3 method for class 'piar_aggregation_structure'
as.matrix(x, ..., sparse = FALSE)
# S3 method for class 'piar_aggregation_structure'
as.data.frame(x, ..., stringsAsFactors = FALSE)
Arguments
- x
A price index aggregation structure, as made by
aggregation_structure()
.- ...
Not currently used.
- sparse
Should the result be a sparse matrix from Matrix? This is faster for large aggregation structures. The default returns an ordinary dense matrix.
- stringsAsFactors
See
as.data.frame()
.
Value
as.matrix()
represents an aggregation structure as a matrix,
such that multiplying with a (column) vector of elemental indexes gives the
aggregated index.
as.data.frame()
takes an aggregation structure and returns a data
frame that could have generated it, with columns level1
,
level2
, ..., ea
, and weight
.
See also
as_aggregation_structure()
for coercing into an aggregation structure.
Other aggregation structure methods:
cut.piar_aggregation_structure()
,
levels.piar_aggregation_structure()
,
update.piar_aggregation_structure()
,
weights.piar_aggregation_structure()
Examples
# A simple aggregation structure
# 1
# |-----+-----|
# 11 12
# |---+---| |
# 111 112 121
# (1) (3) (4)
aggregation_weights <- data.frame(
level1 = c("1", "1", "1"),
level2 = c("11", "11", "12"),
ea = c("111", "112", "121"),
weight = c(1, 3, 4)
)
pias <- as_aggregation_structure(aggregation_weights)
as.matrix(pias)
#> 111 112 121
#> 1 0.125 0.375 0.5
#> 11 0.250 0.750 0.0
#> 12 0.000 0.000 1.0
all.equal(as.data.frame(pias), aggregation_weights)
#> [1] TRUE