This article shows some R histogram examples.
Demo data
Weight data by sex:
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)
## sex weight
## 1 F 53.8
## 2 F 55.3
## 3 F 56.1
## 4 F 52.7
R base plot
hist(wdata$weight, breaks = 30, col = "steelblue", frame = FALSE)
GGPlot2 package
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()
GGPubr package
ggpubr: ggplot2-based publication ready plots
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")
)
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