Copyright (c) 2011 Collin RM Stocks
All Rights Reserved

    This file is part of Py3GUI

    Py3GUI is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    Py3GUI is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <http://www.gnu.org/licenses/>.


== Py3GUI Documentation ==

+++ Notes +++

The original author, Collin RM Stocks, would like to maintain this application.
In order for him to do that, it is important that he is notified of any changes
to the source code so that he can maintain his own personal copy.

Collin RM Stocks is has created a public version control repository on
github.com to host the ``official version'' of the source code of this project.
Now that this is in place, code contributions should be submitted in the form
of patches. There is plenty of documentation online as to how to do this.

Questions and comments (and later, patches) should be directed toward:
    "Collin RM Stocks" <collinstocks (amphora) gmail (fullstop) com>

+++ Building +++

If you have all the prerequisites installed, this program can simply be run as:
    python py3gui.py

If you have all the prerequisites installed on your personal machine, but may
not have them available on machines you plan to use this program on, you can
build it into a Windows executable by running:
    python setup.py

+++ Setup +++

The compiled Py3GUI can be extracted anywhere and run from the dist/ directory.

+++ Running +++

Launch py3gui.exe from the dist/ directory.

+++ Usage +++

The interface is meant to be fairly self-explanatory. When in doubt, just
click on stuff. The worst that can happen is that you get a helpful error
message.

The flow of the interface is from top to bottom. The first step is to select
data files. That can be done by clicking the button at the top labeled
``Select Training Data''. An open-file dialogue will appear which only shows
files with the ``.dat'' extension. (Note: it is also possible to load ``.pk''
files by selecting that file type from the pull-down menu in the dialogue. This
feature is for those of you who might be analyzing data from BCPy2000.)

When data files are selected, they show up in the list below the ``Select
Training Data'' button. If you accidentally selected a file you did not mean
to select, you can click on it and then click ``Remove Selected Files From
List''. If you missed a file, you can click on ``Select Training Data'' again
and select it. The additional data file(s) will be added to the list. Don't
worry about accidentally selecting a data file twice, as duplicates are removed.

The next step is to choose the parameters used when processing the data. These
options have the same meaning as they do in the MatLab version of the P300GUI,
except that in the Py3GUI, channel names are not supported in the ``Channel
Set'' parameter. Only channel numbers are supported.

For the ``Classification Method'' parameter, note that only one classification
method is currently supported. This may change in the future.

For the ``Attempt to Remove Anomalies'' parameter, note that it is unchecked.
Leave it that way. This option is only meant to help to remove zero-block
errors, which should not affect the data set that you are using. It is quite
possible that using this option on data without zero-block errors could cause
unexpected behavior.

The next step is to select ``Generate Feature Weights''. The GUI will freeze
for several seconds (depending on the amount of data selected and the speed
of the computer that Py3GUI is running on) and then show a save file dialogue.
The name you type will be the name of the parameter fragment containing the
feature weights. The parameter fragment will automatically be saved in the
last directory you opened data from, unless you specify otherwise.

It is possible to finish here and exit the Py3GUI. However, if you want to run
some diagnostics on the data or the feature weights, try clicking on
``Diagnostic Plot'' or ``Test Weights''. It is also possible to test the
feature weights on a different data set, by removing all of the data and
selecting more. Additionally, it is possible to test a different set of
feature weights, by clicking ``Browse'' in the ``Use weights from'' parameter,
and selecting either a parameter file that contains weights, or a data file
where weights were loaded into BCI2000 before the data was collected.

Have fun!

Remember, questions and comments should be directed to:
    "Collin RM Stocks" <collinstocks (amphora) gmail (fullstop) com>