Description Usage Arguments Value
a function that converts lists of timeseries signals to divergence matrices, using the fourier domain. This function serves as a wrapper for the obs2freq and freq2div functions.
1 2 | fmriu.freq.obs2div(observations, tr = NaN, lc = 0.01, hc = NaN,
spectrum = "amp")
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observations: |
[[n]][nt, nroi] a list of signals for n subjects, each containing nt timesteps and nroi rois. |
tr: |
[1] the repetition time (in sec) of the dataset. corresponds to the time to take a single timestep. |
lc: |
[1] the lower cutoff (in Hz) below which the fourier domain components will be set to zero. |
hc: |
[1] the higher cutoff (in Hz) above which the fourier domain components will be set to zero. |
spectrum='amp': |
the frequency spectrum to use for computations. Can be 'amp' or 'pow'. |
div_mtx [[n]][nroi, nroi] a list of n divergence matrices where each edge is a divergence between the frequency spectrum of two pairs of rois.
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