For each ROI within the mask, the program first computes the average
across the contrast values within each data set separately. It thus obtains a list
of averaged contrast values, where the number of elements in the list corresponds
to the number of contrast images.
It then performs a one-sample t-test across this list
against the null hypothesis of "no effect". Example:
vROIonesample_ttest -in cgtbsm_*.v -mask mask.v -report liste.txt
This call prints the statistical analysis to the terminal and to an ASCII-file. A typical output may for instance look like this:
  ROI   | mean   | t | z | p |
---|---|---|---|---|
1     | 0.4 (0.03)     | -2.176     | -1.941     | 0.0261 | 2     | 0.5 (0.01)     | -1.031     | -0.985     | 0.1623 | 3     | -0.1 (0.02)     | -0.629     | -0.609     | 0.2712 | 4     | -0.2 (0.05)     | -0.578     | -0.561     | 0.2874 | 5     | 0.3 (0.02)     | 0.553     | 0.537     | 0.2957 |
The column headed "mean" gives the mean value averaged across all contrast images. The number in brackets
denotes the standard error.
It is possible to use a different mask for each contrast image. In this case, the number
of contrast images and masks much match, and the number of ROIs and their IDs
should be consistent across all masks. An '*' can be used to specify multiple input files.
The files are then processed in lexicographical order. Please make sure that the lexicographical
order of filenames is consistent so that each contrast image is matched to the correct mask.
vROIonesample_ttest -in cgtbsm_*.v -mask mask_*.v -report liste.txt