# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}if (!requireNamespace("Rmisc", quietly = TRUE)) {
install.packages("Rmisc")
}if (!requireNamespace("ggpubr", quietly = TRUE)) {
install.packages("ggpubr")
}
# Load packages
library(ggplot2)
library(Rmisc)
library(ggpubr)
Barplot (errorbar)
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot Barplot (errorbar)
plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
Bar plot with error-lines and groups.
็ฏๅข้ ็ฝฎ
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
ggplot2
;Rmisc
;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/005-barplot-errorbar-data.txt", header = T)
data
# convert data structure
2] <- factor(data[, 2], levels = unique(data[, 2]))
data[, <- summarySE(data, measurevar = colnames(data)[1], groupvars = colnames(data)[2])
data_sd
# View data
head(data_sd)
class N score sd se ci
1 math 4 63.50 3.109126 1.554563 4.947314
2 chinese 4 73.75 2.986079 1.493039 4.751518
3 english 4 83.25 2.362908 1.181454 3.759914
Visualization
# Barplot (errorbar)
<- ggplot(data_sd, aes(x = data_sd[, 1], y = data_sd[, 3], fill = data_sd[, 1])) +
p geom_bar(stat = "identity", color = "black",
position = position_dodge(), alpha = 1) +
geom_errorbar(aes(ymin = data_sd[, 3] - sd, ymax = data_sd[, 3] + sd),
width = 0.2,
position = position_dodge(0.9)) +
labs(title = "Barplot (errorbar)", x = colnames(data_sd)[1],
y = colnames(data_sd)[3], fill = colnames(data_sd)[1]) +
geom_jitter(data = data, aes(data[, 2], data[, 1], fill = data[, 2]), size = 2, fill = "black", pch = 19, width = 0.2) +
stat_compare_means(data = data, aes(data[, 2], data[, 1], fill = data[, 2]),
label = "p.format", ref.group = ".all.", vjust = 1,
method = "t.test") +
scale_fill_manual(values = c("#E64B35FF","#4DBBD5FF","#00A087FF","#3C5488FF")) +
theme_bw() +
ylim(0,100) +
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
