Aggregation is a many-to-few operation
where specifics are summed to comprise broader categories.
Examples include "John", "Paul", "George", and "Ringo"
aggregated to "Beatles"; and
"Mick", "Keith", "Ronnie", "Bill", and "Charlie"
aggregated to "Stones".
An aggregation map is a named list that describes the aggregation
to be performed.
An aggregation map for the examples above is
list(Beatles = c("John", "Paul", "George", "Ringo"), Stones = c("Mick", "Keith", "Ronnie", "Bill", "Charlie"))
Aggregation maps can be generated from many shapes of data.
These functions assist with translating from different data shapes to
aggregation maps.
Usage
agg_table_to_agg_map(.df, few_colname, many_colname)
agg_map_to_agg_table(aggregation_map, few_colname, many_colname)Arguments
- .df
A data frame from which an aggregation map is to be extracted.
- few_colname
The string name of a column in a data frame that corresponds to the "few" aggregated categories.
- many_colname
The string name of a column in a data frame that corresponds to the "many" specific items that will be aggregated.
- aggregation_map
An aggregation map to be converted to a data frame.
Value
For agg_table_to_agg_map(), an aggregation map.
For agg_map_to_agg_table(), a data.frame, probably at tibble.
Examples
bands <- tibble::tribble(~band, ~members,
"The Beatles", "John",
"The Beatles", "Paul",
"The Beatles", "George",
"The Beatles", "Ringo",
# Rejects duplicates and NA
"The Beatles", "Ringo",
"The Beatles", NA,
"Rolling Stones", "Mick",
"Rolling Stones", "Keith",
"Rolling Stones", "Ronnie",
"Rolling Stones", "Bill",
"Rolling Stones", "Charlie")
agg_map <- agg_table_to_agg_map(bands,
few_colname = "band",
many_colname = "members")
agg_map
#> $`Rolling Stones`
#> [1] "Mick" "Keith" "Ronnie" "Bill" "Charlie"
#>
#> $`The Beatles`
#> [1] "John" "Paul" "George" "Ringo"
#>
agg_map_to_agg_table(agg_map, few_colname = "bands", many_colname = "members")
#> # A tibble: 9 × 2
#> bands members
#> <chr> <chr>
#> 1 Rolling Stones Mick
#> 2 Rolling Stones Keith
#> 3 Rolling Stones Ronnie
#> 4 Rolling Stones Bill
#> 5 Rolling Stones Charlie
#> 6 The Beatles John
#> 7 The Beatles Paul
#> 8 The Beatles George
#> 9 The Beatles Ringo