tof_plot_model_linear: Plot the results of a linear glmnet model fit on sample-level...

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

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

Description

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

Usage

tof_plot_model_linear(tof_model, new_data, 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.
theme	A ggplot2 theme to apply to the plot Defaults to theme_bw

Value

A ggplot object. Specifically, a scatterplot of the predicted outcome vs. the true outcome will be returned.

keyes-timothy/tidytof documentation built on Aug. 28, 2024, 8:37 a.m.