# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}if (!requireNamespace("grafify", quietly = TRUE)) {
install.packages("grafify")
}if (!requireNamespace("ggpubr", quietly = TRUE)) {
install.packages("ggpubr")
}
# Load packages
library(ggplot2)
library(grafify)
library(ggpubr)
Barplot (errorbar2)
Bar plot with error-lines and groups.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
ggplot2
;grafify
;ggpubr
Data Preparation
Data frame:
<1st-col>: (Numeric) values as Y-axis.
<2nd-col>: (Numeric or String) classes as X-axis.
# Load data
<- read.table("files/Hiplot/006-barplot-errorbar2-data.txt", header = T)
data
# convert data structure
2] <- factor(data[, 2], levels = unique(data[, 2]))
data[,
# View data
head(data)
score class
1 60 math
2 62 math
3 70 chinese
4 73 chinese
5 80 english
6 85 english
Visualization
# Barplot (errorbar2)
<- plot_scatterbar_sd(
p ycol = get(colnames(data)[1]), xcol = get(colnames(data)[2]),
data, b_alpha = 1, ewid = 0.2, jitter = 0.1) +
stat_compare_means(data = data, aes(data[, 2], data[, 1], fill = data[, 2]),
label = "p.format", ref.group = ".all.", vjust = -2,
method = "t.test") +
guides(fill=guide_legend(title=colnames(data)[2])) +
scale_y_continuous(expand = expansion(mult = c(0, 0.2))) +
labs(x="class", y="score") +
scale_fill_manual(values = c("#E64B35FF","#4DBBD5FF","#00A087FF","#3C5488FF")) +
theme_classic2() +
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
