total_gender_df

dataframe from <code><a rd-options="" href="/link/calculate_binom_baseline?package=GenderInfer&version=0.1.0" data-mini-rdoc="GenderInfer::calculate_binom_baseline">calculate_binom_baseline</a></code>
containing Level, LCI, UCI,
Significance and Male and Female percentages

data_df, 

level, 

Create a dataframe that will be the input to generate the bar chart of
the full amount of female and male

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) <doi:10.1039/C9SC04090K>.
It should only be used when self-reported gender is unavailable.

Rita Giordano

GenderInfer

This is a Collection of Functions to Analyse Gender Differences

Aileen Day

John Boyle

Colin Batchelor

Royal Society of Chemistry 

total_gender_df function

dataframe from <code><a rd-options='' href='calculate_binom_baseline'>calculate_binom_baseline</a></code>
containing Level, LCI, UCI,
Significance and Male and Female percentages

total_gender_df: Create a dataframe that will be the input to generate the bar chart of the full amount of female and male

Description

Usage

Arguments

Value