点图（标准差）

注记

Hiplot 网站

本页面为 Hiplot Point (SD) 插件的源码版本教程，您也可以使用 Hiplot 网站实现无代码绘图，更多信息请查看以下链接:

https://hiplot.cn/basic/point-sd?lang=zh_cn

用于展示多组数据点标准差。

环境配置

• 系统: Cross-platform (Linux/MacOS/Windows)

• 编程语言: R

• 依赖包: grafify; dplyr

# 安装包
if (!requireNamespace("grafify", quietly = TRUE)) {
  install.packages("grafify")
}
if (!requireNamespace("dplyr", quietly = TRUE)) {
  install.packages("dplyr")
}

# 加载包
library(grafify)
library(dplyr)

数据准备

# 加载数据
data <- read.delim("files/Hiplot/142-point-sd-data.txt", header = T)

# 整理数据格式
y <- "Doubling_time"
group <- "Student"
data[, group] <- factor(data[, group], levels = unique(data[, group]))
data <- data %>% 
  mutate(median = median(get(y), na.rm = TRUE),
         mean = mean(get(y), na.rm = TRUE))

# 查看数据
head(data)

  Experiment Student Doubling_time facet   median     mean
1       Exp1       A      17.36765    F1 20.18114 19.91642
2       Exp1       B      18.04119    F1 20.18114 19.91642
3       Exp1       C      18.70120    F1 20.18114 19.91642
4       Exp1       D      20.06762    F1 20.18114 19.91642
5       Exp1       E      20.19807    F2 20.18114 19.91642
6       Exp1       F      22.11908    F2 20.18114 19.91642

可视化

# 点图（标准差）
p <- plot_point_sd(data = data, Student, Doubling_time, symsize = 5,
                   symthick = 0.5, s_alpha = 1, ewid = 0, symshape = 21,
                   all_alpha = 0) +
  geom_hline(aes(yintercept = median), colour = 'black', linetype = 2, 
             size = 0.5) +
  xlab(group) + ylab(y) + 
  guides(fill = guide_legend(title = group)) +
  ggtitle("Point-SD") +
  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

图 1: 点图（标准差）