R: False positive rates from several 1-SVM models

svmtrain {directlabels} | R Documentation

## False positive rates from several 1-SVM models

### Description

Support Vector Machine density estimation (1-SVM) was applied to a set of negative control samples, and then used to test on a positive control.

### Usage

    data(svmtrain)

### Format

A data frame with 378 observations on the following 5 variables.

`replicate`

  a factor with levels `1` `2` `3`, the experimental replicate. We fit 1-SVM models to each replicate separately.

`rate`

  a numeric vector, the percent of observations that were outside the trained model.

`data`

  a factor with levels `KIF11` `test` `train`, which set of observations did we measure. test and train are each 50% random splits of the negative controls in the experiment, and KIF11 is the positive control in the experiment.

`gamma`

  a numeric vector, the tuning parameter of the radial basis function kernel.

`nu`

  a numeric vector, the regularization parameter of the 1-SVM.

[Package directlabels version 2018.05.22 Index]