Description Usage Arguments Value Author(s)
A function that performs discriminability in the frequency domain.
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signal |
[[n]][nt, nroi] the signal for each of the n subjects, containing an array of nt observations for nroi rois. |
ids |
[n] the ids for each scan corresponding to the signal from above. |
tr=NaN |
[1] the repetition time of the dataset. NaN for none. |
lc=NaN |
[1] the lower cutoff for highpass filtering. NaN for none. |
hc=NaN |
[1] the high cutoff for low-pass filtering. NaN for none. |
spec='amp' |
the spectrum to work with. 'amp' for amplitude, 'pow' for power. |
rank=FALSE |
a boolean indicating whether to do unranked (FALSE) or ranked (TRUE) graphs, whereby all the edge-weights gare ranked before computing distances. |
font.size=10 |
the default font size for the plot text. |
method='H' |
the method to use for the distance computation.
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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.
Eric Bridgeford
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