Description Usage Arguments Details Value Author(s) References
A call to arf
starts the ARF fitting procedure. It checks if the given path
contains a "data" and a "weights" directory and creates the necessary S4 classes and average files
(if enabled). The name of the experiment can be entered via expname
, this is only used for output on screen. The sequence
and regionstofit
parameters
define the number of regions that are fitted and in which order (see the arguments section for details). The fast
option enables/disables calculation of sandwich estimates at each
model that is fitted or only at the best fitting model. fullOutput
controls the amount of output shown on screen. createAverages
controls the creation of the average files.
1 |
path |
The directory containing the data (it assumes the "data" and "weights" directories exist in the given path). See |
expname |
The name of the experiment/condition |
sequence |
Can be either |
regionstofit |
With sequence set to 'manual': a vector containing the sequence of models to fit (values indicate the number of regions to fit). With sequence set to 'sequential': an integer giving the maximum number of regions to fit. ARF then fits all models from 1 to the maximum. With sequence set to 'interleaved': an integer giving the maximum number of regions to fit. ARF then fits all odd models from 1 to the maximum. |
fast |
When fast is |
fullOutput |
When fullOutput is |
createAverages |
When createAverages is |
ARF can read in NIFTI formatted files or analyze files, assuming a neurological orientation. The NIFTI/ANALYZE header parameters (file type etc.) are taken from the first file in the 'data' directory. For read/write related functions see getFileInfo
,c odenewFile, codereadData, codereadHeader, codewriteData, codewriteHeader.
none. The S4 object of class data
of each model can be accessed via the .RDA files in the 'stats' directory. The S4 object of class sequence
containing the model fits can also be accessed via this directory. See codedata and codesequence for details on the S4 classes.
Wouter D.Weeda
Weeda, W.D., Waldorp, L.J., Christoffels, I., and Huizenga, H.M. (in press) Activated Region Fitting: A robust high-power method for fMRI analysis using parameterized regions of activation. Human Brain Mapping, 2009.
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