binaryClassif: Hypothesis testing

In timflutre/rutilstimflutre: Timothee Flutre's personal R code

Hypothesis testing

Description

Return the number of true positives, false positives, true negatives, false negatives, true positive proportion (sensitivity), false positive proportion, accuracy, true negative proportion (specificity), false discovery proportion, false negative proportion, positive predictive value (precision) and Matthews correlation coefficient. More details on Wikipedia ([1], [2]).

Usage

binaryClassif(known.nulls, called.nulls)

Arguments

known.nulls	vector of booleans (TRUE if the null is true)
called.nulls	vector of booleans (TRUE if the null is accepted); should be in the same order as the othr vector!

Value

vector with names

Author(s)

Timothee Flutre

timflutre/rutilstimflutre documentation built on Feb. 7, 2024, 8:17 a.m.