| plot_roc_curve {scClassifR} | R Documentation |
Plot roc curve
plot_roc_curve(test_result)
test_result |
result of test_classifier function |
ggplot2 roc curve
# 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)