Daim.data: Data sets: Artificial bootstrap data sets for use with Daim.

In Daim: Diagnostic accuracy of classification models.

Description

The data sets containing 100 sets of predictions, id's and corresponding labels were obtained from 100 bootstrap samples.

Usage

data(Daim.data1)

data(Daim.data2)

Format

A three element list. The first element, prob.oob, is itself a matrix where rows are observations and colums are the (bootstrap) samples. Each of these 100 colums is a numerical prediction for each bootstrap sample. The second list entry, prob.app is a vector of numerical apparent predictions. The third list entry, labels is a 100 element list in which each element is a vector of true class labels corresponding to the predictions.

Examples

  data(Daim.data1)
  (perform <- performDaim(Daim.data1$prob.oob, Daim.data1$labels, Daim.data1$prob.app))
  plot(perform)

Daim documentation built on May 29, 2017, 9:08 a.m.