ROC curve for given cumulative distribution functions

Usage

plot_ROC_cdf(
  cdf_positive,
  cdf_negative,
  xmin = -1,
  xmax = 1,
  length.out = 1000
)

Arguments

cdf_positive: Cumulative distribution function for the positive class
cdf_negative: Cumulative distribution function for the negative class
xmin: Minimum value of simulated points for the plots from the distributions. length.out points will be generated between [xmin, xmax]. PURELY VISUAL, ROC curves are calculated based on the actual distributions!
xmax: Maximum value of simulated points for the plots from the distributions. length.out points will be generated between [xmin, xmax]. PURELY VISUAL, ROC curves are calculated based on the actual distributions!
length.out: The number of simulated points for the plots from the distributions. length.out points will be generated between [xmin, xmax]. PURELY VISUAL, ROC curves are calculated based on the actual distributions!

Value

ggplot ROC-curve

Examples

plot_ROC_cdf(
    cdf_positive = function(x) pnorm(x, mean = 1, sd = 1),
    cdf_negative = function(x) pnorm(x, mean = 0, sd = 1),
    xmin = -5, xmax = 15, length.out = 2500
)

plot_ROC_cdf(
    cdf_positive = function(x) pnorm(x, mean = 1, sd = 1.5),
    cdf_negative = function(x) pnorm(x, mean = 0, sd = 1),
    xmin = -5, xmax = 15, length.out = 2500
)

plot_ROC_cdf(
    cdf_positive = function(x) pnorm(x, mean = 1, sd = 2.5),
    cdf_negative = function(x) pnorm(x, mean = 0, sd = 1),
    xmin = -5, xmax = 15, length.out = 2500
)