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 2021.1.13

Index]