Utilizes the 'genderize.io' Application Programming Interface to predict gender from first names extracted from a text vector. The accuracy of prediction could be controlled by two parameters: counts of a first name in the database and probability of prediction.
|Author||Kamil Wais [aut, cre], Nathan VanHoudnos [ctb], John Ramey [ctb]|
|Date of publication||2016-05-11 12:06:34|
|Maintainer||Kamil Wais <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.