View source: R/survminertools.R
kaplan_meier_plot | R Documentation |
Uses ggsurvplot
from the survminer package to create publication-ready plots.
kaplan_meier_plot(..., mapped_plot_args = list(), p_lessthan_cutoff = 0.001)
... |
One or many SurvivalAnalysisResult objects as returned by
|
mapped_plot_args |
Optionally, if given n objects to plot, a named list of vectors of size n. The name is an argument names passed to ggsurvplot. The elements of the vector will be mapped 1:1 to each object. This allows to perform batch plotting where only few arguments differ (e.g. titles A, B, C...) between the plots. |
p_lessthan_cutoff |
The lower limit below which p value will be displayed as "less than". If p_lessthan_cutoff == 0.001, the a p value of 0.002 will be displayed as is, while 0.0005 will become "p < 0.001". |
If given one result to plot, one ggsurvplot object; if given more than one result, a list of ggsurvplot objects.
library(magrittr)
library(dplyr)
survival::aml %>%
analyse_survival(vars(time, status), x) %>%
kaplan_meier_plot(break.time.by="breakByMonth",
xlab=".OS.months",
risk.table=TRUE,
ggtheme=ggplot2::theme_bw(10))
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