Table {BranchGLM}R Documentation

Confusion Matrix

Description

Creates a confusion matrix and calculates related measures.

Usage

Table(object, ...)

## S3 method for class 'numeric'
Table(object, y, cutoff = 0.5, ...)

## S3 method for class 'BranchGLM'
Table(object, cutoff = 0.5, ...)

Arguments

object

a BranchGLM object or a numeric vector.

...

further arguments passed to other methods.

y

observed values, can be a numeric vector of 0s and 1s, a two-level factor vector, or a logical vector.

cutoff

cutoff for predicted values, the default is 0.5.

Value

A BranchGLMTable object which is a list with the following components

table

a matrix corresponding to the confusion matrix

accuracy

a number corresponding to the accuracy

sensitivity

a number corresponding to the sensitivity

specificity

a number corresponding to the specificity

PPV

a number corresponding to the positive predictive value

levels

a vector corresponding to the levels of the response variable

Examples

Data <- ToothGrowth
Fit <- BranchGLM(supp ~ ., data = Data, family = "binomial", link = "logit")
Table(Fit)

[Package BranchGLM version 2.1.6 Index]