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    Metadata details:
    filename: std_erpplot.m
    path of file: ./repos/eeglab/functions/studyfunc
    
    the code of the file until where you have to start completion: % STD_ERPPLOT - Command line function to plot STUDY cluster component ERPs. Either 
%                 displays grand mean ERPs for all requested clusters in the same figure, 
%                 with ERPs for different conditions (if any) plotted in different colors. 
%                 Else, displays ERP for each specified cluster in separate figures 
%                 (per condition), each containing the cluster component ERPs plus 
%                 the grand mean cluster ERP (in bold). ERPs can be plotted only if 
%                 component ERPs were computed and saved in the STUDY EEG
%                 datasets. 
%                 These can be computed during pre-clustering using the gui-based 
%                 function POP_PRECLUST or the equivalent command line functions 
%                 EEG_CREATEDATA and EEG_PRECLUST. Called by POP_CLUSTEDIT.
%                 and STD_PROPPLOT.
% Usage:    
%   >> [STUDY] = std_erpplot(STUDY, ALLEEG, key1, val1, key2, val2);  
%   >> [STUDY erpdata erptimes pgroup pcond pinter] = std_erpplot(STUDY, ALLEEG, ...);  
%
% Inputs:
%   STUDY      - EEGLAB STUDY set comprising some or all of the EEG datasets in ALLEEG.
%   ALLEEG     - global EEGLAB vector of EEG structures for the datasets included 
%                in the STUDY. A STUDY set ALLEEG is typically created by LOAD_ALLEEG.  
% Optional inputs for channel plotting:
%   'channels' - [numeric vector]  specific channel group to plot. By
%                default, the grand mean channel ERP is plotted (using the 
%                same format as for the cluster component means described
%                above). Default is to plot all channels.
%   'subject'  - [numeric vector]  In 'changrp' mode (above), index of 
%                the subject(s) to plot. Else by default, plot all components 
%                in the cluster.
%   'plotsubjects' - ['on'|'off'] When 'on', plot ERP of all subjects.
%   'noplot'   - ['on'|'off'] When 'on', only return output values. Default
%                is 'off'.
%   'topoplotopt' - [cell array] options for topoplot plotting.
%
% Optional inputs for component plotting:
%   'clusters' - [numeric vector|'all'] indices of clusters to plot.
%                If no component indices ('comps' below) are given, the average 
%                ERPs of the requested clusters are plotted in the same figure, 
%                with ERPs for different conditions (and groups if any) plotted 
%                in different colors. In 'comps' (below) mode, ERPS for each 
%                specified cluster are plotted in separate figures (one per 
%                condition), each overplotting cluster component ERPs plus the
%                average cluster ERP in bold. Note this parameter has no effect 
%                if the 'comps' option (below) is used. {default: 'all'}
%   'comps'    - [numeric vector|'all'] indices of the cluster components to plot.
%                Note that 'comps', 'all' is equivalent to 'plotsubjects', 'on'.
%
% Other optional inputs:
%   'key','val' - All optional inputs to POP_ERPPARAMS are also accepted here
%                 to plot subset of time, statistics etc. The values used by default
%                 are the ones set using POP_ERPPARAMS and stored in the
%                 STUDY structure.
%
% Outputs:
%   STUDY      - the input STUDY set structure with plotted cluster mean
%                ERPs data to allow quick replotting 
%   erpdata    - [cell] ERP data for each condition, group and subjects.
%                size of cell array is [nconds x ngroups]. Size of each element
%                is [times x subjects] for data chan
    
function to plot STUDY cluster component ERPs. Either 
%                 displays grand mean ERPs for all requested clusters in the same figure, 
%                 with ERPs for different conditions (if any) plotted in different colors. 
%                 Else, displays ERP for each specified cluster in separate figures 
%                 (per condition), each containing the cluster component ERPs plus 
%                 the grand mean cluster ERP (in bold). ERPs can be plotted only if 
%                 component ERPs were computed and saved in the STUDY EEG
%                 datasets. 
%                 These can be computed during pre-clustering using the gui-based 
%                 function POP_PRECLUST or the equivalent command line functions 
%                 EEG_CREATEDATA and EEG_PRECLUST. Called by POP_CLUSTEDIT.
%                 and STD_PROPPLOT.
% Usage:    
%   >> [STUDY] = std_erpplot(STUDY, ALLEEG, key1, val1, key2, val2);  
%   >> [STUDY erpdata erptimes pgroup pcond pinter] = std_erpplot(STUDY, ALLEEG, ...);  
%
% Inputs:
%   STUDY      - EEGLAB STUDY set comprising some or all of the EEG datasets in ALLEEG.
%   ALLEEG     - global EEGLAB vector of EEG structures for the datasets included 
%                in the STUDY. A STUDY set ALLEEG is typically created by LOAD_ALLEEG.  
% Optional inputs for channel plotting:
%   'channels' - [numeric vector]  specific channel group to plot. By
%                default, the grand mean channel ERP is plotted (using the 
%                same format as for the cluster component means described
%                above). Default is to plot all channels.
%   'subject'  - [numeric vector]  In 'changrp' mode (above), index of 
%                the subject(s) to plot. Else by default, plot all components 
%                in the cluster.
%   'plotsubjects' - ['on'|'off'] When 'on', plot ERP of all subjects.
%   'noplot'   - ['on'|'off'] When 'on', only return output values. Default
%                is 'off'.
%   'topoplotopt' - [cell array] options for topoplot plotting.
%
% Optional inputs for component plotting:
%   'clusters' - [numeric vector|'all'] indices of clusters to plot.
%                If no component indices ('comps' below) are given, the average 
%                ERPs of the requested clusters are plotted in the same figure, 
%                with ERPs for different conditions (and groups if any) plotted 
%                in different colors. In 'comps' (below) mode, ERPS for each 
%                specified cluster are plotted in separate figures (one per 
%                condition), each overplotting cluster component ERPs plus the
%                average cluster ERP in bold. Note this parameter has no effect 
%                if the 'comps' option (below) is used. {default: 'all'}
%   'comps'    - [numeric vector|'all'] indices of the cluster components to plot.
%                Note that 'comps', 'all' is equivalent to 'plotsubjects', 'on'.
%
% Other optional inputs:
%   'key','val' - All optional inputs to POP_ERPPARAMS are also accepted here
%                 to plot subset of time, statistics etc. The values used by default
%                 are the ones set using POP_ERPPARAMS and stored in the
%                 STUDY structure.
%
% Outputs:
%   STUDY      - the input STUDY set structure with plotted cluster mean
%                ERPs data to allow quick replotting 
%   erpdata    - [cell] ERP data for each condition, group and subjects.
%                size of cell array is [nconds x ngroups]. Size of each element
%                is [times x subjects] for data channels or [times x components]
%                for component clusters. This array may be gicen as input 
%                directly to the STATCOND function or STD_STAT function
%                to compute statistics.
%   erptimes   - [array] ERP time point latencies.
%   pgroup     - [array or cell] p-values group statistics. Output of the 
%                STATCOND function.
%   pcond      - [array or cell] condition statistics. Output of the STATCOND 
%                function.
%   pinter     - [array or cell] groups x conditions statistics. Output of
%                STATCOND function.
%
%   Example:
%            >> [STUDY] = std_erpplot(STUDY,ALLEEG, 'clusters', 2, 'comps', 'all');
%               % Plot cluster-2 component ERPs plus the mean ERP in bold. 
%
%  See also  POP_CLUSTEDIT, POP_PRECLUST, EEG_CREATEDATA, EEG_PRECLUST, STD_PROPPLOT
%
% Authors: Arnaud Delorme, CERCO, August, 2006-

% Copyright (C) Arnaud Delorme, arno@salk.edu
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are met:
%
% 1. Redistributions of source code must retain the above copyright notice,
% this list of conditions and the following disclaimer.
%
% 2. Redistributions in binary form must reproduce the above copyright notice,
% this list of conditions and the following disclaimer in the documentation
% and/or other materials provided with the distribution.
%
% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
% THE POSSIBILITY OF SUCH DAMAGE.

function [STUDY, erpdata, alltimes, pgroup, pcond, pinter] = std_erpplot(STUDY, ALLEEG, varargin)

if nargin < 2
    help std_erpplot;
    return;
end