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__INIT__.PY:36:(1) User Commands __INIT__.PY:36:(1)

NAME

__init__.py:36: - 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

/usr/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.

from ._conv import register_converters as _register_converters

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

show program's version and license information and exit
show this help message and exit. --help-np forcefully disables the use of a pager for displaying the help.
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.
single mask item
output filename ('.hdf5' extension is added automatically if necessary).
chance level performance
Store corresponding statistic, e.g. z-value corresponding to the original t-value
Which tail of the distribution 'interesting' values belong to. E.g. if values are accuracies, it would be the 'greater', if errors -- the 'less'
In case of multi sample dataset, which sample to extract to run the ttest on
from ._conv import register_converters as _register_converters

scatter not available: No module named _tkinter, please install the python-tk package pymvpa2-ttest 2.6.5

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.

June 2018 __init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.