Afni3dFDR

Afni3dFDR is a wrapper for the AFNI (RW Cox, NIH) 3dFDR application.
3dFDR -- A program that implements the False Discovery Rate (FDR) algorithm for thresholding of voxelwise statistics.
3dFDR was written by B. Douglas Ward, Medical College of Wisconsin.
For more information about the AFNI package, see the AFNI Homepage

To see the AFNI postscript documentation please go here.

To read the help documentation generated from the command line go here.

To learn about afni data types follow this link.

Invocation

java  Afni3dFDR

For information on how to invoke the command line program, 3dFDR, please go here.

Afni3dFDR window

Information to be entered

• Use dataset
  This is the name of the input 3d functional dataset. Note that non statistical data will be copied over and not replaced with FDR z-scores.
• Brick...
• Use 1D file
  This is the name of the input 1D file that contains a list of p-values.
• Output prefix
  This is the prefix of the output dataset. Note that an output dataset will not be written if a 1D file is used.
• Assume dependent p-values
  Assume that the p-values are dependent. Otherwise, it is assumed to be independent.
• Verbose
  Print additional information about the operation of 3dFDR.
• Write sorted list
  Write out a sorted table of voxel p-values, q-values, and z-scores.
• Enable list overwrites
  Enable files to be overwritten when printing out the sorted list.
• Display graph with FDR lines at
  A list of FDR values to be graphed with the sorted list. The red line is the sorted p-values from the list and the green line is the indentity line. The other lines are the FDR values.
• Mask dataset
  This is the name of the dataset to use as a mask.
• Brick...
• Mask threshold
  This is the threshold to apply to the mask dataset. Note that the threshold is applied to the mask dataset, not to the input dataset.

• Menubar
• Toolbar
• Output window