Plot the results of a survival glmnet model fit on sample-level data.
Source:R/visualization.R
tof_plot_model_survival.Rd
Plot the results of a survival glmnet model fit on sample-level data.
Usage
tof_plot_model_survival(
tof_model,
new_data,
censor_size = 2.5,
theme = ggplot2::theme_bw()
)
Arguments
- tof_model
A `tof_model` trained using
tof_train_model
- new_data
A tibble of new observations for which a plot should be made. If new_data isn't provided, the plot will be made using the training data used to fit the model. Alternatively, the string "tuning_data" can be provided, and the plot will be generated using the predictions generated during model tuning.
- censor_size
A numeric value indicating how large to plot the tick marks representing censored values in the Kaplan-Meier curve.
- theme
A ggplot2 theme to apply to the plot. Defaults to
theme_bw