Point (SD)

Authors

[Editor] Hu Zheng;

[Contributors]

Modified

2026-01-17

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Point (SD) 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/point-sd?lang=en

Displaying the standard deviation (SD) of multi-group data.

Setup

  • System Requirements: Cross-platform (Linux/MacOS/Windows)

  • Programming language: R

  • Dependent packages: data.table; jsonlite; grafify; dplyr

# Install packages
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("grafify", quietly = TRUE)) {
  install.packages("grafify")
}
if (!requireNamespace("dplyr", quietly = TRUE)) {
  install.packages("dplyr")
}

# Load packages
library(data.table)
library(jsonlite)
library(grafify)
library(dplyr)
sessioninfo::session_info("attached")
─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.5.2 (2025-10-31)
 os       Ubuntu 24.04.3 LTS
 system   x86_64, linux-gnu
 ui       X11
 language (EN)
 collate  C.UTF-8
 ctype    C.UTF-8
 tz       UTC
 date     2026-01-17
 pandoc   3.1.3 @ /usr/bin/ (via rmarkdown)
 quarto   1.8.27 @ /usr/local/bin/quarto

─ Packages ───────────────────────────────────────────────────────────────────
 package    * version date (UTC) lib source
 data.table * 1.18.0  2025-12-24 [1] RSPM
 dplyr      * 1.1.4   2023-11-17 [1] RSPM
 ggplot2    * 4.0.1   2025-11-14 [1] RSPM
 grafify    * 5.1.0   2025-08-25 [1] RSPM
 jsonlite   * 2.0.0   2025-03-27 [1] RSPM

 [1] /home/runner/work/_temp/Library
 [2] /opt/R/4.5.2/lib/R/site-library
 [3] /opt/R/4.5.2/lib/R/library
 * ── Packages attached to the search path.

──────────────────────────────────────────────────────────────────────────────

Data Preparation

# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/point-sd/data.json")$exampleData[[1]]$textarea[[1]])
data <- as.data.frame(data)

# Convert data structure
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))

# View data
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

Visualization

# Point (SD)
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
FigureΒ 1: Point (SD)