# Install packages
if (!requireNamespace("ggbeeswarm", quietly = TRUE)) {
install.packages("ggbeeswarm")
}if (!requireNamespace("ggthemes", quietly = TRUE)) {
install.packages("ggthemes")
}
# Load packages
library(ggbeeswarm)
library(ggthemes)
Beeswarm
The beeswarm is a noninterference scatter plot which is similar to a bee colony.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
ggbeeswarm
;ggthemes
Data Preparation
The loaded data are different groups and their data.
# Load data
<- read.table("files/Hiplot/012-beeswarm-data.txt", header = T)
data
# convert data structure
1] <- factor(data[, 1], levels = unique(data[, 1]))
data[, colnames(data) <- c("Group", "y")
# View data
head(data)
Group y
1 G1 5.1
2 G1 4.9
3 G1 4.7
4 G1 4.6
5 G1 5.0
6 G1 5.4
Visualization
# Beeswarm
<- ggplot(data, aes(Group, y, color = Group)) +
p geom_beeswarm(alpha = 1, size = 0.8) +
labs(x = NULL, y = "value") +
ggtitle("BeeSwarm Plot") +
scale_color_manual(values = c("#e04d39","#5bbad6","#1e9f86")) +
theme_stata() +
theme(text = element_text(family = "Arial"),
plot.title = element_text(size = 12,hjust = 0.5),
axis.title = element_text(size = 12),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 0.5,vjust = 1),
legend.position = "right",
legend.direction = "vertical",
legend.title = element_text(size = 10),
legend.text = element_text(size = 10))
p

Different colors represent different groups, and dots represent data.