Description Usage Arguments Details Examples

Plot FROC curves based on two parameters a and b.

1 2 3 4 5 6 7 8 | ```
plotFROC(
a,
b,
mesh.for.drawing.curve = 10000,
upper_x = 1,
upper_y = 1,
lower_y = 0
)
``` |

`a` |
An arbitrary real number.
It is no need to require any assumption,
but I use such as |

`b` |
An arbitrary positive real number.
I use such as |

`mesh.for.drawing.curve` |
A positive large integer, indicating number of dots drawing the curves, Default =10000. |

`upper_x` |
A positive real number, indicating the frame size of drawing picture. |

`upper_y` |
A positive real number, indicating the frame size of drawing picture. |

`lower_y` |
A positive real number, indicating the frame size of drawing picture. |

FROC curve is the alternative notion of ROC curve in signal detection theory.

The definition of FROC curve is

*(x(t),y(t) ) = (t, 1 - Φ( b* Φ^{-1}(exp(-t)) -a ) ) *

where, *Φ()* is the cumulative distribution
function of the standard Gaussian distribution and
*Φ^{-1}()* is its inverse mapping.

Revised 2019 NOv 27

1 2 3 | ```
dark_theme()
plotFROC(0.1,0.2)
``` |

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