We will here use the swimmer_plot
function in the Data & Functions page.
# Libraries
library(ggplot2)
library(swimplot)
# Creation of dataset
set.seed(1931)
ID <- 1:50
Time <- rexp(n = 50, rate = 0.5)
Status <- sample(c("Alive", "Lost to follow up", "Dead"), 50, replace=T, prob = c(0.7, 0.25, 0.05))
base <- data.frame(ID, Time, Status)
# Plot
swplot <- swimmer_plot(base,
id='ID',
start = 0, end='Time',
name_fill='Status',
id_order='Time',
identifiers=FALSE,
alpha=0.75, width=0.8)
swplot +
ggplot2::scale_fill_manual(name="Status",values=c("#4daf4a", "#e41a1c", "#377eb8"))+
ggplot2::ylab('Time (Months)')
This document is a work of the statistics team in the Biostatistics and Medical Information Department at Saint-Louis Hospital in Paris (SBIM).
Developed and updated by Noémie Bigot and Anouk Walter-Petrich
noemie.bigot@aphp.fr; anouk.walter-petrich@u-paris.fr
Based on The R Graph Gallery by Yan Holtz.