discr.time.obs2discr: Time Domain Discriminability

In ebridge2/Discriminability: Discriminability

Description

A function that performs discriminability in the time domain using the correlation.

Usage

discr.time.obs2discr(signal, ids, rank = FALSE, graphs = FALSE,
  font.size = 15, method = "F")

Arguments

signal	[[n]][nt, nroi]: the signal for each of the n subjects, containing an array of nt observations, for nroi rois. Alternatively, can be the graphs for each of the subjects.
ids	[n]: the ids for each scan corresponding to the signal from above.
rank=FALSE	: a boolean indicating whether to do unranked (FALSE) or ranked (TRUE).
font.size=15:	the default font size.
method='F'	the method to use for the distance computation. 'F' Frobenius norm between pairs of graphs 'H' Hellinger distance between pairs of graphs

Value

d [1]: the discriminability statistic for the data.

dist [n, n]: the distance matrix associated with the data.

distplot : a plot of the distance matrix.

kdeplot : a plot of the density estimate of the intra vs inter subject distances.

combinedplot : a multiplot showing the dist plot and the kde plot.

Author(s)

Eric Bridgeford

ebridge2/Discriminability documentation built on May 15, 2019, 7:48 p.m.