NAME

       scatter -  simple t-test routine

SYNOPSIS

       pymvpa2  ttest  [--version]  [-h]  -i  DATASET  [DATASET  ...]  [-m MASK] -o OUTPUT [-c CHANCE_LEVEL] [-s
       {t,z,p}] [-a {greater,less,two-sided}] [--isample ISAMPLE] t-test across multiple  volumes  against  some
       chance level

DESCRIPTION

       scatter not available: No module named _tkinter, please install the python-tk package

       This  is  a rudimentary way to perform fixed-effect significance test across subjects on e.g. searchlight
       results maps.

OPTIONS

       --version
              show program's version and license information and exit

       -h, --help, --help-np
              show this help message and exit. --help-np forcefully disables the use of a pager  for  displaying
              the help.

       -i DATASET [DATASET ...], --input DATASET [DATASET ...]
              path(s)  to  one  or  more PyMVPA dataset files. All datasets will be merged into a single dataset
              (vstack'ed) in order of specification. In some cases this option may need  to  be  specified  more
              than once if multiple, but separate, input datasets are required.

       -m MASK, --mask MASK
              single mask item

       -o OUTPUT, --output OUTPUT
              output filename ('.hdf5' extension is added automatically if necessary).

       -c CHANCE_LEVEL, --chance-level CHANCE_LEVEL
              chance level performance

       -s {t,z,p}, --stat {t,z,p}
              Store corresponding statistic, e.g. z-value corresponding to the original t-value

       -a {greater,less,two-sided}, --alternative {greater,less,two-sided}
              Which  tail  of the distribution 'interesting' values belong to. E.g. if values are accuracies, it
              would be the 'greater', if errors -- the 'less'

       --isample ISAMPLE
              In case of multi sample dataset, which sample to extract to run the ttest on

       pymvpa2-ttest 2.6.4

AUTHOR

       Written by Michael Hanke & Yaroslav Halchenko, and numerous other contributors.

COPYRIGHT

       Copyright © 2006-2016 PyMVPA developers

       Permission is hereby granted, free of charge, to any  person  obtaining  a  copy  of  this  software  and
       associated  documentation  files (the "Software"), to deal in the Software without restriction, including
       without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,  and/or  sell
       copies  of the Software, and to permit persons to whom the Software is furnished to do so, subject to the
       following conditions:

       The above copyright notice and this permission notice shall be included  in  all  copies  or  substantial
       portions of the Software.

       THE  SOFTWARE  IS  PROVIDED  "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
       LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO
       EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
       IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE  SOFTWARE  OR
       THE USE OR OTHER DEALINGS IN THE SOFTWARE.

scatter not available: No module named _tkinte... January 2018                                        SCATTER(1)