tof_plot_model_survival: Plot the results of a survival glmnet model fit on...

In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles

Plot the results of a survival glmnet model fit on sample-level data.

Description

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

Value

A ggplot object. Specifically, a Kaplan-Meier curve.

keyes-timothy/tidytof documentation built on May 7, 2024, 12:33 p.m.