# Install packages
if (!requireNamespace("data.table", quietly = TRUE)) {
install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
install.packages("jsonlite")
}
if (!requireNamespace("GGally", quietly = TRUE)) {
install.packages("GGally")
}
if (!requireNamespace("hrbrthemes", quietly = TRUE)) {
remotes::install_github("hrbrmstr/hrbrthemes")
}
if (!requireNamespace("viridis", quietly = TRUE)) {
install.packages("viridis")
}
if (!requireNamespace("ggthemes", quietly = TRUE)) {
install.packages("ggthemes")
}
# Load packages
library(data.table)
library(jsonlite)
library(GGally)
library(hrbrthemes)
library(viridis)
library(ggthemes)Parallel Coordinate
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot Parallel Coordinate plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
data.table;jsonlite;GGally;hrbrthemes;viridis;ggthemes
sessioninfo::session_info("attached")β Session info βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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
β Packages βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
package * version date (UTC) lib source
data.table * 1.18.0 2025-12-24 [1] RSPM
GGally * 2.4.0 2025-08-23 [1] RSPM
ggplot2 * 4.0.1 2025-11-14 [1] RSPM
ggthemes * 5.2.0 2025-11-30 [1] RSPM
hrbrthemes * 0.9.2 2025-11-02 [1] Github (hrbrmstr/hrbrthemes@d3fd029)
jsonlite * 2.0.0 2025-03-27 [1] RSPM
viridis * 0.6.5 2024-01-29 [1] RSPM
viridisLite * 0.4.2 2023-05-02 [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
* ββ Packages attached to the search path.
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Data Preparation
# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/parallel-coordinate/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)
# Convert data structure
data[, 6] <- factor(data[, 6], levels = unique(data[, 6]))
# View data
head(data) Name Value1 Value2 Value3 Value4 Group
1 ATR 5.1 3.5 1.4 0.2 p53 pathway
2 CHEK1 4.9 3.0 1.4 0.2 p53 pathway
3 GORAB 4.7 3.2 1.3 0.2 p53 pathway
4 CDKN2A 4.6 3.1 1.5 0.2 p53 pathway
5 MDM2 5.0 3.6 1.4 0.2 p53 pathway
6 MDM4 5.4 3.9 1.7 0.4 p53 pathway
Visualization
# Parallel Coordinate
p <- ggparcoord(data, columns = 2:(ncol(data) - 1), groupColumn = ncol(data),
title = "Parallel Coordinate Plot for cancer Data",
alphaLines = 0.3, scale = "globalminmax",
showPoints = T, boxplot = F) +
theme_base() +
theme(text = element_text(family = "Arial"),
plot.title = element_text(size = 12, hjust = 0.5),
axis.title = element_text(size = 10),
axis.text = element_text(size = 12),
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)) +
scale_color_viridis(discrete = TRUE) +
facet_grid(formula(paste("~", (colnames(data)[ncol(data)]))))
p
