Tick marks are plotted where there are censoring times that are also not event times
StatKmticksstat_kmticks(mapping = NULL, data = NULL, geom = "kmticks",
position = "identity", show.legend = NA, inherit.aes = TRUE, trans,
...)
The data to be displayed in this layer. There are three options:
If NULL
, the default, the data is inherited from the plot
data as specified in the call to ggplot()
.
A data.frame
, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify()
for which variables will be created.
A function
will be called with a single argument,
the plot data. The return value must be a data.frame
, and
will be used as the layer data.
The geometric object to use display the data
Position adjustment, either as a string, or the result of a call to a position adjustment function.
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
If FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders()
.
Transformation to apply to the survival probabilities. Defaults to "identity". Other options include "event", "cumhaz", "cloglog", or define your own using trans_new.
Other arguments passed to survival::survfit.formula
a data.frame with additional columns:
x in data
Kaplan-Meier Survival Estimate at x
An object of class StatKmticks
(inherits from Stat
, ggproto
, gg
) of length 4.
stat_kmticks
understands the following aesthetics (required aesthetics
are in bold):
time
The survival times
status
The censoring indicator, see Surv for more information.
alpha
color
linetype
size
This stat is for computing the tick marks for a Kaplan-Meier survival estimate for
right-censored data. The tick marks will appear at each censoring time which is also
not a death time, which is the default for plot.survfit.
It requires the aesthetic mapping x
for the
observation times and status
which indicates the event status,
normally 0=alive, 1=dead. Other choices are TRUE/FALSE (TRUE = death) or 1/2
(2=death).
# NOT RUN {
library(ggplot2)
sex <- rbinom(250, 1, .5)
df <- data.frame(time = exp(rnorm(250, mean = sex)), status = rbinom(250, 1, .75), sex = sex)
ggplot(df, aes(time = time, status = status, color = factor(sex))) +
stat_km() + stat_kmticks()
# }
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