Multivariate Pattern Analysis in Python |
Inheritance diagram for mvpa.misc.fsl.base:
Tiny snippets to interface with FSL easily.
Bases: mvpa.misc.io.base.ColumnData
IO helper to read FSL’s EV3 files.
This is a three-column textfile format that is used to specify stimulation protocols for fMRI data analysis in FSL’s FEAT module.
Data is always read as float.
Read and write FSL EV3 files.
Parameters: | source (filename of an EV3 file) – |
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Returns a tuple of (onset time, simulus duration, intensity) for a certain EV.
Returns the number of EVs in the file.
Returns the number of EVs in the file.
Convert into a list of Event instances.
Parameters: | kwargs – Any keyword arugment provided would be replicated, through all the entries. Useful to specify label or even a chunk |
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Write data to a FSL EV3 file.
Bases: object
Load FSL GLM design matrices from file.
Be aware that such a desig matrix has its regressors in columns and the samples in its rows.
Parameters: | source (filename) – Compressed files will be read as well, if their filename ends with ‘.gz’. |
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Visualize the design matrix.
Parameters: |
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Bases: mvpa.misc.io.base.ColumnData
Read and write McFlirt’s motion estimation parameters from and to text files.
Initialize McFlirtParams
Parameters: | source (str) – Filename of a parameter file. |
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Produce a simple plot of the estimated translation and rotation parameters using.
You still need to can pylab.show() or pylab.savefig() if you want to see/get anything.
Returns the data as an array with six columns (same order as in file).
Write motion parameters to file.