easyFeatures: Choosing Features

In eegAnalysis: Tools for analysis and classification of electroencephalography (EEG) data.

Description

This function helps the user to produce an object of class Features. The purpose of this object is to be used in the function FeatureEEG as the parameter features. It is possible to construct this object "by hand" but it can be a difficult task. It takes some time to choose all the features, so it is recommended to save the object afterwards.

Usage

easyFeatures()

Author(s)

Murilo Coutinho Silva ([e-mail]), George Freitas von Borries

References

Hastie, T., Tibshirani, R., Friedman, J. (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. Stanford: Springer.

See Also

FeatureEEG

Examples

#### This example have to be uncommented to be used

#### Use the function
# features<-easyFeatures()

#### Save your features
# dump("features", file = "example.R")

#### In this case, you can find your features in your current directory
# getwd()

#### Read your features again if you need to:
# source("example.R")

eegAnalysis documentation built on Jan. 15, 2017, 4:03 p.m.