discr.graphs2discr: Time Domain Discriminability

Description Usage Arguments Value Author(s)

Description

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

Usage

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2
discr.graphs2discr(graphs, ids, rank = FALSE, font.size = 15,
  method = "F")

Arguments

graphs

[[n]][nroi, nroi]: the graphs for each of the n subjects with nroi rois as a list of adjacency matrices.

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.