fmriu.obs2zsc: signal to Z-scores
In neurodata/fmriutils: fMRI Derivative Utilities
Description
Usage
Arguments
Value
Author(s)
Description
Scales observations by their z-scores for a given signal.
Usage
1
fmriu.obs2zsc(signal, scale = "roi")
Arguments
signal:
[[n]][nt, nroi] timeseries or [[n]][nroi, nroi] graphs to z-score.
scale='roi':
how to handle scaling.
+ 'roi' columns of each element of our input (ROIs; our features, this gives a z-score per ROI; suggested if inputs are timeseries).
+ 'global' by the overall mean (this gives a global z-scorel; suggested for graphs).
Value
zscore_data: [[n]][nt, nroi] timeseries or [[n]][nroi, nroi] graphs the z-scored data.
Author(s)
Eric Bridgeford
neurodata/fmriutils documentation built on May 14, 2019, 2:30 p.m.
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Description Usage Arguments Value Author(s)
Description
Scales observations by their z-scores for a given signal.
Usage
1 | fmriu.obs2zsc(signal, scale = "roi")
|
Arguments
signal: |
[[n]][nt, nroi] timeseries or [[n]][nroi, nroi] graphs to z-score. |
scale='roi': |
how to handle scaling. + 'roi' columns of each element of our input (ROIs; our features, this gives a z-score per ROI; suggested if inputs are timeseries). + 'global' by the overall mean (this gives a global z-scorel; suggested for graphs). |
Value
zscore_data: [[n]][nt, nroi] timeseries or [[n]][nroi, nroi] graphs the z-scored data.
Author(s)
Eric Bridgeford
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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