geom_stepribbon is an extension of the geom_ribbon, and
is optimized for Kaplan-Meier plots with pointwise confidence intervals
or a confidence band.
Usage
geom_stepribbon(mapping = NULL, data = NULL, stat = "identity",
position = "identity", na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, kmplot = FALSE, ...)
Arguments
mapping
Set of aesthetic mappings created by aes or
aes_. If specified and inherit.aes = TRUE (the
default), is combined with the default mapping at the top level of the
plot. You only need to supply mapping if there isn't a mapping
defined for the plot.
data
A data frame. If specified, overrides the default data frame
defined at the top level of the plot.
stat
The statistical transformation to use on the data for this
layer, as a string.
position
Position adjustment, either as a string, or the result of
a call to a position adjustment function.
na.rm
If FALSE (the default), removes missing values with
a warning. If TRUE silently removes missing values.
show.legend
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.
inherit.aes
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.
kmplot
If TRUE, missing values are replaced by the previous
values. This option is needed to make Kaplan-Meier plots if the last
observation has event, in which case the upper and lower values of the
last observation are missing. This processing is optimized for results
from the survfit function.
...
other arguments passed on to layer. There are
three types of arguments you can use here:
Aesthetics: to set an aesthetic to a fixed value, like
color = "red" or size = 3.
Other arguments to the layer, for example you override the
default stat associated with the layer.
geom_ribbongeom_stepribbon
inherits from geom_ribbon.
Examples
huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron))
h <- ggplot(huron, aes(year))
h + geom_stepribbon(aes(ymin = level - 1, ymax = level + 1), fill = "grey70") +
geom_step(aes(y = level))
h + geom_ribbon(aes(ymin = level - 1, ymax = level + 1), fill = "grey70") +
geom_line(aes(y = level))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(RcmdrPlugin.KMggplot2)
Error in library(RcmdrPlugin.KMggplot2) :
there is no package called 'RcmdrPlugin.KMggplot2'
Execution halted