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.
You can install the released version of GenderInfer from CRAN with:
It is also possible to install the package directly from bitbucket
The package use the following packages as dependencies:
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)
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