README.md

In Christian-T/genderplot: What the Package Does (One Line, Title Case)

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

Christian-T/genderplot documentation built on April 24, 2022, 7:56 p.m.