AFNI program: 3dAutoTcorrelate

Usage: 3dAutoTcorrelate [options] dset
Computes the correlation coefficient between each pair of
voxels in the input dataset, and stores the output into
a new anatomical bucket dataset.

Options:
  -pearson  = Correlation is the normal Pearson (product moment)
                correlation coefficient [default].
  -spearman = Correlation is the Spearman (rank) correlation
                coefficient.
  -quadrant = Correlation is the quadrant correlation coefficient.

  -polort m = Remove polynomical trend of order 'm', for m=-1..3.
                [default is m=1; removal is by least squares].
                Using m=-1 means no detrending; this is only useful
                for data/information that has been pre-processed.

  -autoclip = Clip off low-intensity regions in the dataset,
  -automask =  so that the correlation is only computed between
               high-intensity (presumably brain) voxels.  The
               intensity level is determined the same way that
               3dClipLevel works.

  -prefix p = Save output into dataset with prefix 'p'
               [default prefix is 'ATcorr'].

  -time     = Save output as a 3D+time dataset instead
               of a anat bucket.

Notes:
 * The output dataset is anatomical bucket type of shorts.
 * The output file might be gigantic and you might run out
    of memory running this program.  Use at your own risk!
 * The program prints out an estimate of its memory usage
    when it starts.  It also prints out a progress 'meter'
    of 1 dot per 10 output sub-bricks.
 * This is a quick hack for Peter Bandettini. Now pay up.

-- RWCox - Jan 31 2002

++ Compile date = Jan 29 2009