View source: R/plot_variable_response.R
plot.surv_variable_response_explainer | R Documentation |
Function plot for surv_variable_response object shows the expected output condition on a selected variable.
## S3 method for class 'surv_variable_response_explainer' plot(x, ..., split = "model")
x |
an object of class "surv_variable_response" |
... |
optional, additional objects of class "surv_variable_response_explainer" |
split |
a character, either "model" or "variable"; sets the variable for faceting |
library(survxai) library(rms) data("pbcTest") data("pbcTrain") predict_times <- function(model, data, times){ prob <- rms::survest(model, data, times = times)$surv return(prob) } cph_model <- cph(Surv(years, status)~sex + bili + stage, data=pbcTrain, surv=TRUE, x = TRUE, y=TRUE) surve_cph <- explain(model = cph_model, data = pbcTest[,-c(1,5)], y = Surv(pbcTest$years, pbcTest$status), predict_function = predict_times) svr_cph <- variable_response(surve_cph, "sex") plot(svr_cph)
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