compare_categories {manydata}

Compare categories in 'many' datacubes

Description

Compare categories in 'many' datacubes

Usage

compare_categories(
  datacube,
  dataset = "all",
  key = "manyID",
  variable = "all",
  category = "all"
)

Arguments

datacube

A datacube from one of the many packages.

dataset

A dataset in a datacube from one of the many packages. By default "all". That is, all datasets in the datacube are used. To select two or more datasets, please declare them as a vector.

key

A variable key to join datasets. 'manyID' by default.

variable

Would you like to focus on one, or more, specific variables present in one or more datasets in the 'many' datacube? By default "all". For multiple variables, please declare variable names as a vector.

category

Would you like to focus on one specific code category? By default "all" are returned. Other options include "confirmed", "unique", "missing", "conflict", or "majority". For multiple variables, please declare categories as a vector.

Details

Confirmed values are the same in all datasets in datacube. Unique values appear once in datasets in datacube. Missing values are missing in all datasets in datacube. Conflict values are different in the same number of datasets in datacube. Majority values have the same value in multiple, but not all, datasets in datacube.

See Also

Other compare_: compare_dimensions(), compare_missing(), compare_overlap(), compare_ranges()

Examples

compare_categories(emperors, key = "ID")
compare_categories(datacube = emperors, dataset = c("wikipedia", "UNRV"),
key = "ID", variable = c("Beg", "End"), category = c("conflict", "unique"))
plot(compare_categories(emperors, key = "ID"))
plot(compare_categories(datacube = emperors, dataset = c("wikipedia", "UNRV"),
key = "ID", variable = c("Beg", "End"), category = c("conflict", "unique")))