plot.Cuminc | R Documentation |
Plot the estimates of the non-parametric Aalen-Johansen estimate of the
cumulative incidence functions (competing risks data). Note this is a method
for mstate::Cuminc
and not cmprsk::cuminc
. Both return the same
estimates, though the former does so in a dataframe, and the latter in the list.
## S3 method for class 'Cuminc'
plot(
x,
use.ggplot = FALSE,
xlab = "Time",
ylab = "Probability",
xlim,
ylim,
lty,
legend,
cols,
conf.type = c("log", "plain", "none"),
conf.int = 0.95,
legend.pos = "right",
facet = FALSE,
...
)
x |
Object of class |
use.ggplot |
Default FALSE, set TRUE for ggplot version of plot |
xlab |
A title for the x-axis; default is |
ylab |
A title for the y-axis; default is |
xlim |
The x limits of the plot(s), default is range of time |
ylim |
The y limits of the plot(s); if ylim is specified for type="separate", then all plots use the same ylim for y limits |
lty |
The line type, see |
legend |
Character vector corresponding to number of absorbing states.
In case of a grouped |
cols |
Vector (numeric or character) specifying colours of the lines |
conf.type |
Type of confidence interval - either "log" or "plain" . See function details for details. |
conf.int |
Confidence level (%) from 0-1 for probabilities, default is 0.95 (95% CI). Setting to 0 removes the CIs. |
legend.pos |
The position of the legend, see |
facet |
Logical, in case of group used for |
... |
Further arguments to plot or print method |
Grouped cumulative incidences can be plotted either in the same plot or in facets,
see the facet
argument.
A ggplot object if use.ggplot = T used, otherwise NULL.
Edouard F. Bonneville e.f.bonneville@lumc.nl
library(ggplot2)
data("aidssi")
head(aidssi)
si <- aidssi
# No grouping
cum_incid <- Cuminc(
time = "time",
status = "status",
data = si
)
plot(
x = cum_incid,
use.ggplot = TRUE,
conf.type = "none",
lty = 1:2,
conf.int = 0.95
)
# With grouping
cum_incid_grp <- Cuminc(
time = "time",
status = "status",
group = "ccr5",
data = si
)
plot(
x = cum_incid_grp,
use.ggplot = TRUE,
conf.type = "none",
lty = 1:4,
facet = TRUE
)
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