This is the command pymvpa2-describe that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
NAME
pymvpa2-describe - describe a dataset's content
SYNOPSIS
pymvpa2 describe [--version] [-h] -i DATASET [DATASET ...] [-r
{txtsummary,sample_histogram}] [--numpy-xfm SPEC] [--figure-title FIGURE_TITLE]
[--histogram-bins VALUE] [--xlim XLIM XLIM] [--ylim YLIM YLIM] [--x-marker X_MARKER
[X_MARKER ...]] [--y-marker Y_MARKER [Y_MARKER ...]] [--target-attr NAME]
DESCRIPTION
Describe a dataset's content
This command can produce a number of reports for datasets. Currently supported are summary
statistics in text format, as well as basic plots. See the --report option for more
information.
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.
-r {txtsummary,sample_histogram}, --report {txtsummary,sample_histogram}
choose a type of report. Default: terse summary in text format.
Options for transforming dataset content before plotting:
--numpy-xfm SPEC
apply a Numpy function along a given axis of the samples before generating the
dataset info summary. For example, 'samples:std' will apply the 'std' function
along the samples axis, i.e. compute a vector of standard deviations for all
features in a dataset
Options for plot formatting:
--figure-title FIGURE_TITLE
title for a plot
--histogram-bins VALUE
number of bin for histograms
--xlim XLIM XLIM
minimum and maximum value of the x-axis extent in a figure
--ylim YLIM YLIM
minimum and maximum value of the y-axis extent in a figure
--x-marker X_MARKER [X_MARKER ...]
list of x-value to draw markers on in a figure
--y-marker Y_MARKER [Y_MARKER ...]
list of y-value to draw markers on in a figure
Options for dataset description:
--target-attr NAME
name of a samples attributes defining 'target'. This information is used to define
groups of samples when generating information on the within and between category
data structure in a dataset.
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