summary.icac: Print and/or return the correction summary of an "icac"...

In icaOcularCorrection: Independent Components Analysis (ICA) based artifact correction.

Description

When noise.sig = NULL, the number of trials where an independent component (IC) correlated above threshold is listed, as well as the mean correlation across these trials. If a value is passed to argument ic and noise.sig = NULL, the number of trials where the IC and each noise signal correlated above threshold is listed.

Usage

## S3 method for class 'icac'
summary(object, noise.sig = NULL, ic = NULL, 
print = TRUE, ...)

Arguments

object	An icac object as returned by the function of the same name.
noise.sig	One of the channels against which the independent components were correlated. Defaults to NULL.
ic	Integer. An independent component. Defaults to NULL.
print	Logical. Whether to print the summary. Defaults to TRUE.
...	Unused.

Value

Invisibly returns a data frame containing the summary.

Author(s)

Antoine Tremblay, Dalhousie University, [e-mail]

See Also

fastICA; icac; mwd.thrsh; plot_avgba; plot_trba; plot_nic; plot_tric; topo_ic; update.icac.

Examples

### See vignette for examples.

Example output

Loading required package: fastICA
Loading required package: mgcv
Loading required package: nlme
This is mgcv 1.8-27. For overview type 'help("mgcv-package")'.

icaOcularCorrection documentation built on May 29, 2017, 1:53 p.m.