R HISTOGRAM EXAMPLE QUICK REFERENCE

library(tidyverse)
theme_set(
  theme_bw() +
    theme(legend.position = "top")
)
head(iris, 3)
iris.gathered <- iris %>%
  as_data_frame() %>%
  gather(key = "variable", value = "value",
         -Sepal.Length, -Species)

head(iris.gathered, 3)
ggplot(iris.gathered, aes(x = value, y = Sepal.Length)) +
  geom_point(aes(color = Species)) +
  facet_wrap(~variable)+
  scale_color_viridis_d()

set.seed(1234)
wdata = data.frame(
  sex = factor(rep(c("F", "M"), each=200)),
  weight = c(rnorm(200, 55), rnorm(200, 58))
)

head(wdata, 4)
hist(wdata$weight, breaks = 30, col = "steelblue", frame = FALSE)

library(ggplot2)
theme_set(theme_bw())
# Basic plot
ggplot(wdata, aes(x = weight)) +
  geom_histogram(bins = 30) 

# Change fill color by sex group
ggplot(wdata, aes(x = weight)) +
  geom_histogram(aes(fill = sex), bins = 30, alpha = 0.5,
                 position = position_dodge()) +
  scale_fill_viridis_d() 

library(ggpubr)

# Basic plots
gghistogram(wdata, x = "weight", fill = "steelblue", alpha = 1)

# Change color by sex group
gghistogram(
  wdata, x = "weight", color = "sex",
  palette = c("#00AFBB", "#E7B800")
)

Link to the original text