This is a Collection of Functions to Analyse Gender Differences

Implementation of functions, which combines binomial calculation and data visualisation, to analyse the differences in publishing authorship by gender described in Day et al. (2020) . It should only be used when self-reported gender is unavailable.

GenderInfer

The goal of GenderInfer is to analysed data for gender differences in publishing. It assigns the gender based on the first name. It should only be used when self-reported gender is unavailable. This package let possible to find if there are significant differences between male and female from a specified baselines.

Installation

You can install the released version of GenderInfer from CRAN with:

install.packages("GenderInfer")

It is also possible to install the package directly from bitbucket

devtools::install_bitbucket("rscapplications/genderinfer")

The package use the following packages as dependencies:

  binom
  ggplot2

Example

This is a basic example which shows you how to assign gender to a data frame containing first names:

library(GenderInfer)
## assign gender
authors_df <- assign_gender(data_df = authors, first_name_col = first_name)
head(authors_df)