errorMatrix: errorMatrix: the error matrix.

In Mathias-Fuchs/simTestSize: determine optimal test set size for simulation studies

Description

the matrix containing the elementary error estimators. Their rows correspond to the learning sets, and columns correspond to the test chunks.

Usage

errorMatrix(learningAlgorithm, drawFunction, g, testChunkSize, Nwithin = 110,
  Nbetween = 100, ...)

Arguments

learningAlgorithm	a function that takes learning data as argument and outputs a prediction rule in the form of another function that maps test data to numeric vectors. These can be errors or AUCs, one for each testing data set.
drawFunction	a function that returns a dataframe with the response variable in a column names y
g	the learning sample sizelearningAlgorithm, drawFunction, Nwithin=12, Nbetween=17)
testChunkSize	the sample size of a single test chunk
Nwithin	number of test chunks to be drawn for each training iteration. In the paper, this number was called n_test. Defaults to 110.
Nbetween	number of training data sets to be drawn. In the paper, this number was calles N. Defaults to 100.
...	additional parameters to be passed to the drawing function

Value

the error matrix

Examples

errorMatrix(
learningAlgorithm=svmLearning,
drawFunction=drawLogit,
g=20,
testChunkSize=1
)

Mathias-Fuchs/simTestSize documentation built on May 7, 2019, 3:42 p.m.