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 |

`...` |
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]