Provided by: python-mvpa2_2.6.4-2_all 

NAME
scatter - BOLD fMRI motion QC plot
SYNOPSIS
pymvpa2 plotmotionqc [--version] [-h] [-s FILE [FILE ...]] [--estimate-order LABEL] [--rad2deg]
[--outlier-minthresh OUTLIER_MINTHRESH] [--outlier-stdthresh OUTLIER_STDTHRESH] [--savefig FILENAME]
DESCRIPTION
scatter not available: No module named _tkinter, please install the python-tk package
Generate a QC plot for (BOLD fMRI) motion estimates of multiple segments.
The generated figure consists of two subplots: one for translation and one for rotation. The L2-norm for
each motion type is plotted. Segment boundaries are indicated with dashed vertical lines. The following
statistics are visualized
1. Range across subjects (min, max) with a light gray shaded area
2. 50% percentile around the mean with a medium gray shaded area
3. Standard error of the mean (SEM; +/-) with a dark gray shaded area
4. Median across subjects with a black line
5. Outlier subjects are represented as individual red lines
Outliers are defined as subjects that exceed the threshold anywhere within a given segment. In that case
the entire motion time series for that segment is plotted as an outlier.
Example
pymvpa2 plotmotionqc -s sub*/func/*run-1_bold_mc.txt -s sub*/func/*run-2_bold_mc.txt
--savefig motion.png
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.
-s FILE [FILE ...], --segment FILE [FILE ...]
two or more text files with motion estimate time series. This option can be given multiple times
(with multiple time series each to generate a multi-segment plot (e.g. for multiple run).
--estimate-order LABEL
column order of estimates in the files. `transrot` indicates translation first, followed by
rotation. `rottrans` refers to the oposite order. [Default: 'transrot']
--rad2deg
If specified, rotation estimates are assumed to be in radian and will be converted to degrees.
--outlier-minthresh OUTLIER_MINTHRESH
absolute minimum threshold of outlier detection. Only value larger than this this threshold will
ever be considered as an outlier. [Default: None]
--outlier-stdthresh OUTLIER_STDTHRESH
minimum threshold in units of standard deviation for outlier detection. [Default: None]
--savefig FILENAME
file name to store the QC figure under. Without this option the figure is shown in an interactive
viewer.
pymvpa2-plotmotionqc 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)