genderplot

Introduction

The genderplot package provides more informative plots to investigate gender effects. The reasons behind it are described in the paper Thurn, Braas, Berkowitz (in preparation).

Installation

library(devtools)
devtools::install_github("Christian-T/genderplot", force = TRUE)
library(genderplot)

The gender_plot function will need a column named "gender". If your column is named differently, specify gender = "name_of_gender_column". The function checks whether the column contains values with the levels "female/male". If the levels are different (e.g., "f/m") the function will make use of the recode_gender function from the gendercoder package. You can install it via devtools::install_github('ropenscilabs/gendercoder'), or you provide a gender column with levels labelled "female" and "male".

Examples

library(AER)
data("PhDPublications")

genderplot::gender_plot(PhDPublications, varname="prestige")
genderplot::gender_plot(PhDPublications, varname="prestige", lb=-1) #need to adjust lower bound
# to depict larger gender differences

data(STAR) #data on effect of reducing class size on test scores in the early grades
genderplot::gender_plot(STAR[!is.na(STAR$read1),], varname="read1") #read1 = reading in first grade
genderplot::gender_plot(STAR[!is.na(STAR$math3),], varname="math3") #math3= math in 3rd grade

data("TeachingRatings") #Data on course evaluations, course characteristics,
# and professor characteristics (beauty)
genderplot::gender_plot(TeachingRatings, varname="age") #more old professors are male
genderplot::gender_plot(TeachingRatings, varname="age", lb=-1, ub=2.5) #need to adjust
#lower and upper bound
genderplot::gender_plot(TeachingRatings, varname="beauty", lb=-1) #more beautiful
# professors are female
genderplot::gender_plot(TeachingRatings, varname="eval") # higher evaluated professors
# are more often male than female

Citation

To cite package genderplot in publications use:

Thurn, C. M., Braas, T., Berkowitz, M. (2021). Package "genderplot". Availabe at https://github.com/Christian-T/genderplot

Credits

The function for half violin plots come from the see package https://easystats.github.io/see/reference/geom_violinhalf.html The function for gender coding comes from the gendercoder package https://github.com/ropensci/gendercoder