gender_empowerment_measure: Gender Empowerment Measure (GEM)
In genderstat: Quantitative Analysis Tools for Gender Studies
View source: R/gender_empowerment_measure.R
gender_empowerment_measure R Documentation
Gender Empowerment Measure (GEM)
Description
Computes the Gender Empowerment Measure (GEM) based on the provided dataset.
The GEM measures gender inequality in political representation, professional positions, and income.
Usage
gender_empowerment_measure(data)
Arguments
data
A data frame containing the required metrics for GEM computation.
The data frame must include the following columns: female_parliament_seats, female_professional_positions, and female_to_male_earned_income_ratio.
Value
A data frame with two columns: country and GEM, representing the GEM values for each country.
Examples
data(real_data_GEM) # Load example dataset
gem_results <- gender_empowerment_measure(real_data_GEM)
print(gem_results)
genderstat documentation built on Sept. 11, 2024, 8:43 p.m.
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View source: R/gender_empowerment_measure.R
| gender_empowerment_measure | R Documentation |
Gender Empowerment Measure (GEM)
Description
Computes the Gender Empowerment Measure (GEM) based on the provided dataset. The GEM measures gender inequality in political representation, professional positions, and income.
Usage
gender_empowerment_measure(data)
Arguments
data |
A data frame containing the required metrics for GEM computation.
The data frame must include the following columns: |
Value
A data frame with two columns: country and GEM, representing the GEM values for each country.
Examples
data(real_data_GEM) # Load example dataset
gem_results <- gender_empowerment_measure(real_data_GEM)
print(gem_results)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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