# Install packages
if (!requireNamespace("tidyverse", quietly = TRUE)) {
install.packages("tidyverse")
}if (!requireNamespace("ggthemes", quietly = TRUE)) {
install.packages("ggthemes")
}
# Load packages
library(tidyverse)
library(ggthemes)
Gantt
The Gantt chart is a type of bar chart that illustrates a project schedule.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
tidyverse
;ggthemes
Data Preparation
Data were loaded for 4 samples (4 patients), 3 items (3 treatments), and the start and end times of each treatment.
# Load data
<- read.delim("files/Hiplot/059-gantt-data.txt", header = T)
data
# Convert data structure
<- colnames(data)[1]
usr_ylab if (!is.numeric(data[, 2])) {
2] <- factor(data[, 2], levels = unique(data[, 2]))
data[,
}<- gather(data, "state", "date", 3:4)
data_gather <- levels(data_gather$sample)
sample $sample <- factor(data_gather$sample,
data_gatherlevels = rev(unique(data_gather$sample))
)
# View data
head(data_gather)
sample item state date
1 patient1 treat1 start 1
2 patient2 treat1 start 2
3 patient2 treat2 start 5
4 patient2 treat3 start 7
5 patient3 treat3 start 6
6 patient3 treat1 start 3
Visualization
# Gantt
<- ggplot(data_gather, aes(date, sample, color = item)) +
p geom_line(size = 10, alpha = 1) +
labs(x = "Time", y = "sample", title = "Gantt Plot") +
theme(axis.ticks = element_blank()) +
scale_color_manual(values = c("#e04d39","#5bbad6","#1e9f86")) +
theme_stata() +
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

The horizontal axis represents the time schedule, the vertical axis represents 4 patients, and the 3 colors represent 3 treatments. The figure can observe the time schedule of different treatments for each patient.