View source: R/plot_model_performance_survival.R
plot.model_performance_survival | R Documentation |
This function is a wrapper for plotting model_performance
objects created for survival models
using the model_performance()
function.
## S3 method for class 'model_performance_survival'
plot(x, ...)
x |
an object of class |
... |
additional parameters passed to the |
An object of the class ggplot
.
plot.surv_model_performance
x
- an object of class "surv_model_performance"
to be plotted
...
- additional objects of class "surv_model_performance"
to be plotted together
metrics
- character, names of metrics to be plotted (subset of C/D AUC", "Brier score" for metrics_type %in% c("time_dependent", "functional")
or subset of "C-index","Integrated Brier score", "Integrated C/D AUC" for metrics_type == "scalar"
), by default (NULL
) all metrics of a given type are plotted
metrics_type
- character, either one of c("time_dependent","functional")
for functional metrics or "scalar"
for scalar metrics
title
- character, title of the plot
subtitle
- character, subtitle of the plot, 'default'
automatically generates "created for XXX, YYY models", where XXX and YYY are the explainer labels
facet_ncol
- number of columns for arranging subplots
colors
- character vector containing the colors to be used for plotting variables (containing either hex codes "#FF69B4", or names "blue")
rug
- character, one of "all"
, "events"
, "censors"
, "none"
or NULL
. Which times to mark on the x axis in geom_rug()
.
rug_colors
- character vector containing two colors (containing either hex codes "#FF69B4", or names "blue"). The first color (red by default) will be used to mark event times, whereas the second (grey by default) will be used to mark censor times.
plot.surv_model_performance_rocs
x
- an object of class "surv_model_performance_rocs"
to be plotted
...
- additional objects of class "surv_model_performance_rocs"
to be plotted together
title
- character, title of the plot
subtitle
- character, subtitle of the plot, 'default'
automatically generates "created for XXX, YYY models", where XXX and YYY are the explainer labels
colors
- character vector containing the colors to be used for plotting variables (containing either hex codes "#FF69B4", or names "blue")
facet_ncol
- number of columns for arranging subplots
Other functions for plotting 'model_performance_survival' objects:
plot.surv_model_performance_rocs()
,
plot.surv_model_performance()
library(survival)
library(survex)
model <- randomForestSRC::rfsrc(Surv(time, status) ~ ., data = veteran)
exp <- explain(model)
m_perf <- model_performance(exp)
plot(m_perf, metrics_type = "functional")
m_perf_roc <- model_performance(exp, type = "roc", times = c(100, 300))
plot(m_perf_roc)
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