Censor points are very difficult to distinguish from the survival curve they're placed along when the colors match, which they do by default. I'd like to change the color of censor points on my plot, or maybe even give them a nice outline, so they can be easily distinguished from the survival curve.
I wrote the code below hoping to change the censor color to black, but the censor points on the plot it rendered are still the pesky curve-matching default colors.
library(survival)
library(survminer)
# Create a survfit using lung data
fit <- survfit(Surv(time, status) ~ sex, data = lung)
# Render plot with customized censor point color
ggsurvplot(
fit,
data = lung,
censor.col = 1)
While ggsurvplot
understands censor.shape
and censor.size
the docs does not mention a censor.col(or)
parameter.
But one option would be to manipulate the plot object directly, i.e. in your case we can set a "black"
point color like so, where the third layer is the geom_point
which adds the censor points:
library(survival)
library(survminer)
p <- ggsurvplot(
fit,
data = lung
)
p$plot$layers[[3]]$aes_params$colour <- "black"
p
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