plot.predict_parts_survival {survex}

Plot Predict Parts for Survival Models

Description

This function plots objects of class "predict_parts_survival" - local explanations for survival models created using the predict_parts() function.

Usage

## S3 method for class 'predict_parts_survival'
plot(x, ...)

Arguments

x

an object of class "predict_parts_survival" to be plotted

...

additional parameters passed to the plot.surv_shap or plot.surv_lime functions

Value

An object of the class ggplot.

Plot options

plot.surv_shap

• x - an object of class "surv_shap" to be plotted

• ... - additional objects of class surv_shap 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

• max_vars - maximum number of variables to be plotted (least important variables are ignored)

• 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_lime

• x - an object of class "surv_lime" to be plotted

• type - character, either "coefficients" or "local_importance", selects the type of plot

• show_survival_function - logical, if the survival function of the explanations should be plotted next to the barplot

• ... - other parameters currently ignored

• 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

• max_vars - maximum number of variables to be plotted (least important variables are ignored)

• colors - character vector containing the colors to be used for plotting variables (containing either hex codes "#FF69B4", or names "blue")

See Also

Other functions for plotting 'predict_parts_survival' objects: plot.surv_lime(), plot.surv_shap()

Examples

library(survival)
library(survex)

model <- randomForestSRC::rfsrc(Surv(time, status) ~ ., data = veteran)
exp <- explain(model)

p_parts_shap <- predict_parts(exp, veteran[1, -c(3, 4)], type = "survshap")
plot(p_parts_shap)

p_parts_lime <- predict_parts(exp, veteran[1, -c(3, 4)], type = "survlime")
plot(p_parts_lime)