R: Plot a ROC curve with ggplot2 (Experimental)

ggroc.roc {pROC} | R Documentation

## Plot a ROC curve with ggplot2 (Experimental)

### Description

This function plots a ROC curve with ggplot2.

### Usage

    ## S3 method for class 'roc'
    ggroc(data, legacy.axes = FALSE, ...)
    ## S3 method for class 'list'
    ggroc(data, aes = c("colour", "alpha", "linetype", "size"), legacy.axes = FALSE, ...)

### Arguments

`data` | a roc object from the roc function, or a list of roc objects.
`aes` | the name of the aesthetics for `geom_line` to map to the different ROC curves supplied
`legacy.axes` | a logical indicating if the specificity axis (x axis) must be plotted as as decreasing “specificity” (`FALSE`, the default) or increasing “1 - specificity” (`TRUE`) as in most legacy software.
`...` | additional aesthetics for `geom_line` to set: `alpha`, `colour`, `linetype` and `size`.

### Details

This function initializes a ggplot object from a ROC curve (or multiple if a list is passed). It returns the ggplot with a line layer on it. You can print it directly or add your own layers and theme elements.

This function is experimental and may change in the future. Please report bugs and feedback on the GitHub issue tracker.

### See Also

`roc`, `plot.roc`, `ggplot2`

### Examples

    # Create a basic roc object
    data(aSAH)
    rocobj <- roc(aSAH$outcome, aSAH$s100b)
    rocobj2 <- roc(aSAH$outcome, aSAH$wfns)

    library(ggplot2)
    g <- ggroc(rocobj)
    g
    # with additional aesthetics:
    ggroc(rocobj, alpha = 0.5, colour = "red", linetype = 2, size = 2)

    # You can then your own theme, etc.
    g + theme_minimal() + ggtitle("My ROC curve")

    # Multiple curves:
    g2 <- ggroc(list(s100b=rocobj, wfns=rocobj2))
    g2
    # with additional aesthetics:
    g2 <- ggroc(list(s100b=rocobj, wfns=rocobj2), linetype=2)
    ggroc(list(s100b=rocobj, wfns=rocobj2), aes="linetype", color="red")

[Package pROC version 1.12.1 Index]