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Plot several ROC curves from separate datasets

Source: R/plot_ROC.R
plot_MulROC.Rd

Each element of scores is matched with the corresponding element of labels, which allows the curves to come from different cohorts or endpoints rather than from different markers of the same cohort.

Usage

plot_MulROC(
  scores,
  labels,
  palette = "house",
  color = NULL,
  legend.pos = "bottom",
  title = NULL,
  font = "Arial",
  percent.style = FALSE
)

Arguments

scores

A named list of numeric marker vectors.

labels

A list of binary outcomes, one per element of scores.

palette

Palette name passed to get_color().

color

Optional vector of colours; overrides palette.

legend.pos

Legend position: a position such as "bottom", or an x/y coordinate pair in panel units for a legend inside the panel.

title

Plot title.

font

Font family used in the plot.

percent.style

Label the axes as percentages.

Value

A ggplot object.

Examples

set.seed(1)
scores <- list(cohortA = rnorm(60), cohortB = rnorm(60))
labels <- list(rbinom(60, 1, 0.5), rbinom(60, 1, 0.5))
p <- plot_MulROC(scores, labels)