compute_doi {globaltrends} | R Documentation |
Aggregate keyword-country data and compute DOI
Description
The function computes degree of internationalization (DOI) for object keywords. Degree of internationalization is measured based on the distribution of country search scores.
Usage
compute_doi(object, control = 1, locations = "countries")
## S3 method for class 'numeric'
compute_doi(object, control = 1, locations = "countries")
## S3 method for class 'list'
compute_doi(object, control = 1, locations = "countries")
Arguments
object |
Object batch for which the keyword-country data
is aggregated and DOI is computed. Object of type |
control |
Control batch for which the search score is used. Object
of type |
locations |
List of locations for which the search score is used.
Object of type |
Details
The function uses an inverted Gini-coefficient as measure for the degree of internationalization. The more uniform the distribution of search scores across all countries, the higher the inverted Gini-coefficient and the greater the degree of internationalization. In addition to the Gini-coefficient, the package uses inverted Herfindahl index and inverted Entropy as measures for internationalization.
Value
Message that data was aggregated successfully. Data is written to table data_doi.
See Also
Examples
## Not run:
compute_doi(
object = 1,
control = 1,
locations = "countries"
)
compute_doi(
object = as.list(1:5),
control = 1,
locations = "countries"
)
## End(Not run)