R/confusion.matrix.false.discovery.rate.simple.R

Defines functions confusion.matrix.false.discovery.rate.simple

Documented in confusion.matrix.false.discovery.rate.simple

#' Confusion Matrix Measures - False Discovery Rate  
#' 
#' Calculate False Discovery Rate, defined as FP / (FP + TP), for a given confusion matrix. 
#'
#' @param true.positive Scalar - Cases identified as true positive
#' @param false.positive Scalar - Cases identified as false positive 
#' @param confusion.matrix Matrix - confusion matrix.
#'
#' @aliases confusion.matrix.false.discovery.rate
#'
#' @return A scalar with computed value. 
confusion.matrix.false.discovery.rate.simple <- function(
  false.positive = 0
  ,true.positive = 1 
) {
  false.positive / (false.positive + true.positive)
}
burrm/lolcat documentation built on Sept. 15, 2023, 11:35 a.m.