plot_roc_curve {scClassifR} | R Documentation

## Plot roc curve

### Description

Plot roc curve

### Usage

    plot_roc_curve(test_result)

### Arguments

`test_result` | result of test_classifier function

### Value

ggplot2 roc curve

### Examples

    # load small example dataset
    data("tirosh_mel80_example")

    # train a classifier, for ex: B cell
    selected_features_B = c("CD19", "MS4A1", "CD79A")
    set.seed(123)
    clf_b <- train_classifier(train_obj = tirosh_mel80_example,
    features = selected_features_B, cell_type = "B cells")

    clf_b_test <- test_classifier(test_obj = tirosh_mel80_example,
    classifier = clf_b)

    # run plot curve on the test result
    roc_curve <- plot_roc_curve(test_result = clf_b_test)

[Package scClassifR version 1.2.0 Index]