Barplot (errorbar2)

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Barplot (errorbar2) plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:

https://hiplot.cn/basic/barplot-errorbar2?lang=en

Bar plot with error-lines and groups.

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: ggplot2; grafify; ggpubr

# 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)

Data Preparation

Data frame:

<1st-col>: (Numeric) values as Y-axis.

<2nd-col>: (Numeric or String) classes as X-axis.

# Load data
data <- read.table("files/Hiplot/006-barplot-errorbar2-data.txt", header = T)

# convert data structure
data[, 2] <- factor(data[, 2], levels = unique(data[, 2]))

# 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)
p <- plot_scatterbar_sd(
  data, ycol = get(colnames(data)[1]), xcol = get(colnames(data)[2]),
  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