gender
(Package: gender) :
Predict gender from first names using historical data
This function predicts the gender of a first name given a year or range of years in which the person was born. The prediction can use one of several data sets suitable for different time periods or geographical regions. See the package vignette for suggestions on using this function with multiple names and for a discussion of which data set is most suitable for your research question. When using certains methods, the genderdata data package is required; you will be prompted to install it if it is not already available.
gender_df
(Package: gender) :
Use gender prediction with data frames
In a common use case for gender prediction, you have a data frame with a column for first names and a column for birth years (or, two columns specifying a minimum and a maximum potential birth year). This function wraps the gender function to efficiently apply it to such a data frame. The result is a data frame with one prediction of the gender for each unique combination of first name and birth year. The resulting data frame can then be merged back into your original data frame.
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