# Install packages
if (!requireNamespace("GGally", quietly = TRUE)) {
install.packages("GGally")
}if (!requireNamespace("hrbrthemes", quietly = TRUE)) {
install.packages("hrbrthemes")
}if (!requireNamespace("viridis", quietly = TRUE)) {
install.packages("viridis")
}if (!requireNamespace("ggthemes", quietly = TRUE)) {
install.packages("ggthemes")
}
# Load packages
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:
GGally
;hrbrthemes
;viridis
;ggthemes
Data Preparation
# Load data
<- read.delim("files/Hiplot/132-parallel-coordinate-data.txt", header = T)
data
# Convert data structure
6] <- factor(data[, 6], levels = unique(data[, 6]))
data[,
# 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
<- ggparcoord(data, columns = 2:(ncol(data) - 1), groupColumn = ncol(data),
p 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
