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function [cfg] = ft_multiplotER(cfg, varargin)
% FT_MULTIPLOTER plots the event-related potentials or event-related fields
% versus time, or the oscillatory activity (power or coherence) versus frequency.
% Multiple datasets can be overlayed. The plots are arranged according to
% the location of the channels specified in the layout.
% Use as
% ft_multiplotER(cfg, data)
% or
% ft_multiplotER(cfg, data, data2, ..., dataN)
% The data can be an event-related potential or field produced by
% FT_TIMELOCKANALYSIS, a power spectrum produced by FT_FREQANALYSIS or a coherence
% spectrum produced by FT_FREQDESCRIPTIVES.
% If you specify multiple datasets they should contain the same channels, etc.
% The configuration can have the following parameters:
% cfg.parameter = field to be plotted on y-axis, for example 'avg', 'powspctrm' or 'cohspctrm' (default is automatic)
% cfg.maskparameter = field in the first dataset to be used for marking significant data
% cfg.maskstyle = style used for masking of data, 'box', 'thickness' or 'saturation' (default = 'box')
% cfg.maskfacealpha = mask transparency value between 0 and 1
% cfg.xlim = 'maxmin', 'maxabs', 'zeromax', 'minzero', or [xmin xmax] (default = 'maxmin')
% cfg.ylim = 'maxmin', 'maxabs', 'zeromax', 'minzero', or [ymin ymax] (default = 'maxmin')
% cfg.gradscale = number, scaling to apply to the MEG gradiometer channels prior to display
% cfg.magscale = number, scaling to apply to the MEG magnetometer channels prior to display
% = Nx1 cell-array with selection of channels (default = 'all'), see FT_CHANNELSELECTION for details
% cfg.refchannel = name of reference channel for visualising connectivity, can be 'gui'
% cfg.baseline = 'yes', 'no' or [time1 time2] (default = 'no'), see FT_TIMELOCKBASELINE or FT_FREQBASELINE
% cfg.trials = 'all' or a selection given as a 1xN vector (default = 'all')
% cfg.axes = string, 'yes' or 'no' whether to draw x- and y-axes for each graph (default = 'yes')
% = string, 'yes' or 'no' whether to draw a box around each graph (default = 'no')
% cfg.showlabels = 'yes' or 'no' (default = 'no')
% cfg.showoutline = 'yes' or 'no' (default = 'no')
% cfg.showscale = 'yes' or 'no' (default = 'yes')
% cfg.showcomment = 'yes' or 'no' (default = 'yes')
% cfg.comment = string of text (default = date + limits)
% Add 'comment' to graph (according to COMNT in the layout)
% cfg.limittext = add user-defined text instead of cfg.comment, (default = cfg.comment)
% cfg.fontsize = font size of comment and labels (default = 8)
% cfg.interactive = 'yes' or 'no', make the plot interactive (default = 'yes')
% In a interactive plot you can select areas and produce a new
% interactive plot when a selected area is clicked. Multiple areas
% can be selected by holding down the SHIFT key.
% cfg.renderer = 'painters', 'zbuffer', ' opengl' or 'none' (default = [])
% cfg.colorgroups = 'sequential', 'allblack', 'labelcharN' (N = Nth character in label), 'chantype' or a vector
% with the length of the number of channels defining the groups (default = 'sequential')
% cfg.linestyle = linestyle/marker type, see options of the PLOT function (default = '-')
% can be a single style for all datasets, or a cell-array containing one style for each dataset
% cfg.linewidth = linewidth in points (default = 0.5)
% cfg.linecolor = color(s) used for plotting the dataset(s) (default = 'brgkywrgbkywrgbkywrgbkyw')
% alternatively, colors can be specified as Nx3 matrix of RGB values
% cfg.directionality = '', 'inflow' or 'outflow' specifies for connectivity measures whether the
% inflow into a node, or the outflow from a node is plotted. The (default) behavior
% of this option depends on the dimord of the input data (see below).
% cfg.layout = specify the channel layout for plotting using one of the supported ways (see below).
% = 'intersect' or 'union' (default = 'intersect')
% with multiple input arguments determines the
% pre-selection of the data that is considered for
% plotting.
% The following options for the scaling of the EEG, EOG, ECG, EMG, MEG and NIRS channels
% is optional and can be used to bring the absolute numbers of the different
% channel types in the same range (e.g. fT and uV). The channel types are determined
% from the input data using FT_CHANNELSELECTION.
% cfg.eegscale = number, scaling to apply to the EEG channels prior to display
% cfg.eogscale = number, scaling to apply to the EOG channels prior to display
% cfg.ecgscale = number, scaling to apply to the ECG channels prior to display
% cfg.emgscale = number, scaling to apply to the EMG channels prior to display
% cfg.megscale = number, scaling to apply to the MEG channels prior to display
% cfg.gradscale = number, scaling to apply to the MEG gradiometer channels prior to display (in addition to the cfg.megscale factor)
% cfg.magscale = number, scaling to apply to the MEG magnetometer channels prior to display (in addition to the cfg.megscale factor)
% cfg.nirsscale = number, scaling to apply to the NIRS channels prior to display
% cfg.mychanscale = number, scaling to apply to the channels specified in cfg.mychan
% cfg.mychan = Nx1 cell-array with selection of channels
% cfg.chanscale = Nx1 vector with scaling factors, one per channel specified in
% For the plotting of directional connectivity data the cfg.directionality option
% determines what is plotted. The default value and the supported functionality
% depend on the dimord of the input data. If the input data is of dimord
% 'chan_chan_XXX', the value of directionality determines whether, given the
% reference channel(s), the columns (inflow), or rows (outflow) are selected for
% plotting. In this situation the default is 'inflow'. Note that for undirected
% measures, inflow and outflow should give the same output. If the input data is of
% dimord 'chancmb_XXX', the value of directionality determines whether the rows in
% data.labelcmb are selected. With 'inflow' the rows are selected if the
% refchannel(s) occur in the right column, with 'outflow' the rows are selected if
% the refchannel(s) occur in the left column of the labelcmb-field. Default in this
% case is '', which means that all rows are selected in which the refchannel(s)
% occur. This is to robustly support linearly indexed undirected connectivity
% metrics. In the situation where undirected connectivity measures are linearly
% indexed, specifying 'inflow' or 'outflow' can result in unexpected behavior.
% The layout defines how the channels are arranged and what the size of each
% subplot is. You can specify the layout in a variety of ways:
% - you can provide a pre-computed layout structure (see prepare_layout)
% - you can give the name of an ascii layout file with extension *.lay
% - you can give the name of an electrode file
% - you can give an electrode definition, i.e. "elec" structure
% - you can give a gradiometer definition, i.e. "grad" structure
% If you do not specify any of these and the data structure contains an
% electrode or gradiometer structure, that will be used for creating a
% layout. If you want to have more fine-grained control over the layout
% of the subplots, you should create your own layout file.
% To facilitate data-handling and distributed computing you can use
% cfg.inputfile = ...
% If you specify this option the input data will be read from a *.mat
% file on disk. This mat files should contain only a single variable named 'data',
% corresponding to the input structure. For this particular function, the
% data should be provided as a cell-array.
% Undocumented local options:
% cfg.layoutname
% cfg.preproc
% cfg.orient = landscape/portrait
% Copyright (C) 2003-2006, Ole Jensen
% Copyright (C) 2007-2011, Roemer van der Meij & Jan-Mathijs Schoffelen
% Copyright (C) 2012-2017, F.C. Donders Centre
% This file is part of FieldTrip, see
% for the documentation and details.
% FieldTrip 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.
% FieldTrip is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% GNU General Public License for more details.
% You should have received a copy of the GNU General Public License
% along with FieldTrip. If not, see <>.
% $Id$
% DEVELOPERS NOTE: This code is organized in a similar fashion for multiplot/singleplot/topoplot
% and for ER/TFR and should remain consistent over those 6 functions.
% Section 1: general cfg handling that is independent from the data
% Section 2: data handling, this also includes converting bivariate (chan_chan and chancmb) into univariate data
% Section 3: select the data to be plotted and determine min/max range
% Section 4: do the actual plotting
%% Section 1: general cfg handling that is independent from the data
% these are used by the ft_preamble/ft_postamble function and scripts
ft_revision = '$Id$';
ft_nargin = nargin;
ft_nargout = nargout;
% do the general setup of the function
ft_preamble init
ft_preamble debug
ft_preamble loadvar varargin
ft_preamble provenance varargin
ft_preamble trackconfig
% the ft_abort variable is set to true or false in ft_preamble_init
if ft_abort
Ndata = length(varargin);
for i=1:Ndata
% check if the input data is valid for this function
varargin{i} = ft_checkdata(varargin{i}, 'datatype', {'timelock', 'freq'});
% check if the input cfg is valid for this function
cfg = ft_checkconfig(cfg, 'forbidden', {'channels', 'trial'}); % prevent accidental typos, see issue 1729
cfg = ft_checkconfig(cfg, 'unused', {'cohtargetchannel'});
cfg = ft_checkconfig(cfg, 'renamed', {'cohrefchannel', 'refchannel'});
cfg = ft_checkconfig(cfg, 'renamed', {'hlim', 'xlim'});
cfg = ft_checkconfig(cfg, 'renamed', {'matrixside', 'directionality'});
cfg = ft_checkconfig(cfg, 'renamed', {'vlim', 'ylim'});
cfg = ft_checkconfig(cfg, 'renamed', {'zparam', 'parameter'});
cfg = ft_checkconfig(cfg, 'renamed', {'graphcolor', 'linecolor'});
cfg = ft_checkconfig(cfg, 'renamedval', {'directionality', 'feedback', 'inflow'});
cfg = ft_checkconfig(cfg, 'renamedval', {'directionality', 'feedforward', 'outflow'});
cfg = ft_checkconfig(cfg, 'renamedval', {'zlim', 'absmax', 'maxabs'});
cfg = ft_checkconfig(cfg, 'renamed', {'newfigure', 'figure'});
% cfg = ft_checkconfig(cfg, 'deprecated', {'xparam'});
% set the defaults
cfg.baseline = ft_getopt(cfg, 'baseline', 'no');
cfg.trials = ft_getopt(cfg, 'trials', 'all', 1);
cfg.xlim = ft_getopt(cfg, 'xlim', 'maxmin');
cfg.ylim = ft_getopt(cfg, 'ylim', 'maxmin');
cfg.comment = ft_getopt(cfg, 'comment', date);
cfg.limittext = ft_getopt(cfg, 'limittext', 'default');
cfg.axes = ft_getopt(cfg, 'axes', 'yes');
cfg.showlabels = ft_getopt(cfg, 'showlabels', 'no');
cfg.showoutline = ft_getopt(cfg, 'showoutline', 'no');
cfg.showscale = ft_getopt(cfg, 'showscale', 'yes');
cfg.showcomment = ft_getopt(cfg, 'showcomment', 'yes'); = ft_getopt(cfg, 'box', 'no');
cfg.fontsize = ft_getopt(cfg, 'fontsize', 8);
cfg.fontweight = ft_getopt(cfg, 'fontweight');
cfg.interpreter = ft_getopt(cfg, 'interpreter', 'none'); % none, tex or latex
cfg.interactive = ft_getopt(cfg, 'interactive', 'yes');
cfg.orient = ft_getopt(cfg, 'orient', 'landscape');
cfg.maskparameter = ft_getopt(cfg, 'maskparameter');
cfg.colorgroups = ft_getopt(cfg, 'colorgroups', 'condition');
cfg.linecolor = ft_getopt(cfg, 'linecolor', 'brgkywrgbkywrgbkywrgbkyw');
cfg.linestyle = ft_getopt(cfg, 'linestyle', '-');
cfg.linewidth = ft_getopt(cfg, 'linewidth', 0.5);
cfg.maskstyle = ft_getopt(cfg, 'maskstyle', 'box');
cfg.maskfacealpha = ft_getopt(cfg, 'maskfacealpha', 1); = ft_getopt(cfg, 'channel', 'all');
cfg.directionality = ft_getopt(cfg, 'directionality', '');
cfg.figurename = ft_getopt(cfg, 'figurename');
cfg.preproc = ft_getopt(cfg, 'preproc');
cfg.frequency = ft_getopt(cfg, 'frequency', 'all'); % needed for frequency selection with TFR data
cfg.latency = ft_getopt(cfg, 'latency', 'all'); % needed for latency selection with TFR data, FIXME, probably not used
cfg.renderer = ft_getopt(cfg, 'renderer'); % let MATLAB decide on the default = ft_getopt(cfg, 'select', 'intersect'); % for ft_selectdata
% check for linestyle being a cell-array
if ischar(cfg.linestyle)
cfg.linestyle = repmat({cfg.linestyle}, 1, Ndata);
% check it's length, and lengthen it if does not have enough styles in it
if (length(cfg.linestyle) > 1) && (length(cfg.linestyle) < Ndata )
ft_error('either specify cfg.linestyle as a cell-array with one cell for each dataset, or only specify one linestyle')
elseif (length(cfg.linestyle) == 1)
cfg.linestyle = repmat(cfg.linestyle, 1, Ndata);
% this is needed for the figure title and correct labeling of linecolor later on
if isfield(cfg, 'dataname') && ~isempty(cfg.dataname)
dataname = cfg.dataname;
elseif isfield(cfg, 'inputfile') && ~isempty(cfg.inputfile)
dataname = cfg.inputfile;
elseif nargin>1
dataname = arrayfun(@inputname, 2:nargin, 'UniformOutput', false);
dataname = {};
%% Section 2: data handling, this also includes converting bivariate (chan_chan and chancmb) into univariate data
for i=1:Ndata
dtype{i} = ft_datatype(varargin{i});
hastime(i) = isfield(varargin{i}, 'time');
hasfreq(i) = isfield(varargin{i}, 'freq');
% check if the input has consistent datatypes
if ~all(strcmp(dtype, dtype{1})) || ~all(hastime==hastime(1)) || ~all(hasfreq==hasfreq(1))
ft_error('different datatypes are not allowed as input');
dtype = dtype{1};
hastime = hastime(1);
hasfreq = hasfreq(1);
% Set x/y/parameter defaults according to datatype and dimord
switch dtype
case 'timelock'
xparam = 'time';
if isfield(varargin{1}, 'trial')
cfg.parameter = ft_getopt(cfg, 'parameter', 'trial');
elseif isfield(varargin{1}, 'individual')
cfg.parameter = ft_getopt(cfg, 'parameter', 'individual');
elseif isfield(varargin{1}, 'avg')
cfg.parameter = ft_getopt(cfg, 'parameter', 'avg');
case 'freq'
if hastime && hasfreq
xparam = 'time'; % further down the code will compute the average over selected frequencies
xparam = 'freq';
cfg.parameter = ft_getopt(cfg, 'parameter', 'powspctrm');
case 'comp'
% not supported
% not supported
% check whether rpt/subj is present and remove if necessary
dimord = getdimord(varargin{1}, cfg.parameter);
dimtok = tokenize(dimord, '_');
hasrpt = any(ismember(dimtok, {'rpt' 'subj'}));
if ~hasrpt
assert(isequal(cfg.trials, 'all') || isequal(cfg.trials, 1), 'incorrect specification of cfg.trials for data without repetitions');
assert(~isempty(cfg.trials), 'empty specification of cfg.trials for data with repetitions');
% parse
if isfield(cfg, 'channel') && isfield(varargin{1}, 'label') = ft_channelselection(, varargin{1}.label);
elseif isfield(cfg, 'channel') && isfield(varargin{1}, 'labelcmb') = ft_channelselection(, unique(varargin{1}.labelcmb(:)));
% apply baseline correction
if ~strcmp(cfg.baseline, 'no')
tmpcfg = keepfields(cfg, {'baseline', 'baselinetype', 'baselinewindow', 'demean', 'parameter', 'channel'});
for i=1:Ndata
% keep mask-parameter if it is set
if ~isempty(cfg.maskparameter)
tempmask = varargin{i}.(cfg.maskparameter);
if strcmp(dtype, 'timelock') && strcmp(xparam, 'time')
varargin{i} = ft_timelockbaseline(tmpcfg, varargin{i});
elseif strcmp(dtype, 'freq') && strcmp(xparam, 'time')
varargin{i} = ft_freqbaseline(tmpcfg, varargin{i});
elseif strcmp(dtype, 'freq') && strcmp(xparam, 'freq')
ft_error('Baseline correction is not supported for spectra without a time dimension');
ft_warning('Baseline correction not applied, please set xparam');
% put mask-parameter back if it is set
if ~isempty(cfg.maskparameter)
varargin{i}.(cfg.maskparameter) = tempmask;
% channels SHOULD be selected here, as no interactive action produces a new multiplot
tmpcfg = keepfields(cfg, {'channel', 'trials', 'select', 'showcallinfo', 'trackcallinfo', 'trackconfig', 'trackusage', 'trackdatainfo', 'trackmeminfo', 'tracktimeinfo'});
if hasrpt
tmpcfg.avgoverrpt = 'yes';
tmpcfg.avgoverrpt = 'no';
if hastime && hasfreq
tmpcfg.avgoverfreq = 'yes'; % average over the selected frequencies
tmpcfg.frequency = cfg.frequency; % not to be confused with cfg.xlim or cfg.ylim
tmpcfg.keepfreqdim = 'no';
tmpcfg.avgoverfreq = 'no';
tmpvar = varargin{1};
[varargin{:}] = ft_selectdata(tmpcfg, varargin{:});
% restore the provenance information
[cfg, varargin{:}] = rollback_provenance(cfg, varargin{:});
if isfield(tmpvar, cfg.maskparameter) && ~isfield(varargin{1}, cfg.maskparameter)
% the mask parameter is not present after ft_selectdata, because it is
% not included in all input arguments. Make the same selection and copy
% it over
tmpvar = ft_selectdata(tmpcfg, tmpvar);
varargin{1}.(cfg.maskparameter) = tmpvar.(cfg.maskparameter);
clear tmpvar tmpcfg dimord dimtok hastime hasfreq hasrpt
% ensure that the preproc specific options are located in the cfg.preproc
% substructure, but also ensure that the field 'refchannel' remains at the
% highest level in the structure. This is a little hack by JM because the field
% refchannel can relate to connectivity or to an EEg reference.
if isfield(cfg, 'refchannel'), refchannelincfg = cfg.refchannel; cfg = rmfield(cfg, 'refchannel'); end
cfg = ft_checkconfig(cfg, 'createsubcfg', {'preproc'});
if exist('refchannelincfg', 'var'), cfg.refchannel = refchannelincfg; end
if ~isempty(cfg.preproc)
% preprocess the data, i.e. apply filtering, baselinecorrection, etc.
fprintf('applying preprocessing options\n');
if ~isfield(cfg.preproc, 'feedback') = cfg.interactive;
for i=1:Ndata
varargin{i} = ft_preprocessing(cfg.preproc, varargin{i});
% handle the bivariate case
dimord = getdimord(varargin{1}, cfg.parameter);
if startsWith(dimord, 'chan_chan_') || startsWith(dimord, 'chancmb_')
% convert the bivariate data to univariate and call this plotting function with univariate input
cfg.originalfunction = 'ft_multiplotER';
cfg.trials = 'all'; % trial selection has been taken care off
bivariate_common(cfg, varargin{:});
% Apply channel-type specific scaling
fn = fieldnames(cfg);
fn = setdiff(fn, {'skipscale', 'showscale', 'gridscale'}); % these are for the layout and plotting, not for CHANSCALE_COMMON
fn = fn(endsWith(fn, 'scale') | startsWith(fn, 'mychan') | strcmp(fn, 'channel') | strcmp(fn, 'parameter'));
tmpcfg = keepfields(cfg, fn);
if ~isempty(tmpcfg)
for i=1:Ndata
varargin{i} = chanscale_common(tmpcfg, varargin{i});
% remove the scaling fields from the configuration, to prevent them from being called again in interactive mode
% but keep the parameter and channel field
cfg = removefields(cfg, setdiff(fn, {'parameter', 'channel'}));
% do nothing
%% Section 3: select the data to be plotted and determine min/max range
% Read or create the layout that will be used for plotting
tmpcfg = keepfields(cfg, {'layout', 'channel', 'rows', 'columns', 'commentpos', 'skipcomnt', 'scalepos', 'skipscale', 'projection', 'viewpoint', 'rotate', 'width', 'height', 'elec', 'grad', 'opto', 'showcallinfo', 'trackcallinfo', 'trackconfig', 'trackusage', 'trackdatainfo', 'trackmeminfo', 'tracktimeinfo'});
cfg.layout = ft_prepare_layout(tmpcfg, varargin{1});
% Take the subselection of channels that is contained in the layout, this is the same in all datasets
[selchan, sellay] = match_str(varargin{1}.label, cfg.layout.label);
% Get physical min/max range of x, i.e. time or frequency
if ~isnumeric(cfg.xlim)
% Find maxmin throughout all varargins
xmin = +inf;
xmax = -inf;
for i=1:Ndata
xmin = nanmin([xmin varargin{i}.(xparam)]);
xmax = nanmax([xmax varargin{i}.(xparam)]);
switch cfg.xlim
case 'maxmin'
% keep them as they are
case 'maxabs'
xmax = max(abs(xmax), abs(xmin));
xmin = -xmax;
case 'zeromax'
xmin = 0;
case 'minzero'
xmax = 0;
ft_error('invalid specification of cfg.xlim');
xmin = cfg.xlim(1);
xmax = cfg.xlim(2);
% Get the index of the nearest bin, this is the same in all datasets
xminindx = nearest(varargin{1}.(xparam), xmin);
xmaxindx = nearest(varargin{1}.(xparam), xmax);
xmin = varargin{1}.(xparam)(xminindx);
xmax = varargin{1}.(xparam)(xmaxindx);
selx = xminindx:xmaxindx;
xval = varargin{1}.(xparam)(selx);
% Get physical y-axis range, i.e. of the parameter to be plotted
if ~isnumeric(cfg.ylim)
% Find maxmin throughout all varargins
ymin = +inf;
ymax = -inf;
for i=1:Ndata
% Select the channels in the data that match with the layout and that are selected for plotting
dat = varargin{i}.(cfg.parameter)(selchan,selx);
ymin = min(ymin, min(dat(:)));
ymax = max(ymax, max(dat(:)));
switch cfg.ylim
case 'maxmin'
% keep them as they are
case 'maxabs'
ymax = max(abs(ymax), abs(ymin));
ymin = -ymax;
case 'zeromax'
ymin = 0;
case 'minzero'
ymax = 0;
ft_error('invalid specification of cfg.ylim');
ymin = cfg.ylim(1);
ymax = cfg.ylim(2);
% Gather the data from all input data structures
datamatrix = zeros(Ndata, length(selchan), length(selx));
for i=1:Ndata
datamatrix(i,:,:) = varargin{i}.(cfg.parameter)(selchan, selx);
if ~isempty(cfg.maskparameter)
% one value for each channel-time point
maskmatrix = varargin{1}.(cfg.maskparameter)(selchan, selx);
% create an Nx0 matrix
maskmatrix = zeros(length(selchan), 0);
chanX = cfg.layout.pos(sellay, 1);
chanY = cfg.layout.pos(sellay, 2);
chanWidth = cfg.layout.width(sellay);
chanHeight = cfg.layout.height(sellay);
chanLabel = cfg.layout.label(sellay);
%% Section 4: do the actual plotting
% determine the coloring of channels/conditions
linecolor = linecolor_common(cfg, varargin{:});
% open a new figure, or add it to the existing one
open_figure(keepfields(cfg, {'figure', 'position', 'visible', 'renderer', 'figurename', 'title'}));
if ischar(linecolor)
set(gca, 'ColorOrder', char2rgb(linecolor))
elseif isnumeric(linecolor)
set(gca, 'ColorOrder', linecolor)
% Plot the data
for m=1:length(selchan)
mask = maskmatrix(m, :);
if strcmp(cfg.maskstyle, 'difference')
% combine the conditions in a single plot, highlight the difference
yval = squeeze(datamatrix(:,m,:));
% Clip out of bounds y values:
yval(yval > ymax) = ymax;
yval(yval < ymin) = ymin;
ft_plot_vector(xval, yval, 'width', chanWidth(m), 'height', chanHeight(m), 'hpos', chanX(m), 'vpos', chanY(m), 'hlim', [xmin xmax], 'vlim', [ymin ymax], 'color', linecolor, 'style', cfg.linestyle{1}, 'linewidth', cfg.linewidth, 'axis', cfg.axes, 'highlight', mask, 'highlightstyle', cfg.maskstyle, 'facealpha', cfg.maskfacealpha);
% loop over the conditions, plot them on top of each other
for i=1:Ndata
yval = squeeze(datamatrix(i,m,:));
% clip out of bounds y values:
yval(yval > ymax) = ymax;
yval(yval < ymin) = ymin;
% select the color for the channel/condition
if strcmp(cfg.colorgroups, 'condition')
color = linecolor(i,:);
color = linecolor(m,:);
ft_plot_vector(xval, yval, 'width', chanWidth(m), 'height', chanHeight(m), 'hpos', chanX(m), 'vpos', chanY(m), 'hlim', [xmin xmax], 'vlim', [ymin ymax], 'color', color, 'style', cfg.linestyle{i}, 'linewidth', cfg.linewidth, 'axis', cfg.axes, 'highlight', mask, 'highlightstyle', cfg.maskstyle, 'facealpha', cfg.maskfacealpha);
end % for number of channels
% plot the layout, labels and outline
ft_plot_layout(cfg.layout, 'box',, 'label', cfg.showlabels, 'outline', cfg.showoutline, 'point', 'no', 'mask', 'no', 'fontsize', cfg.fontsize, 'labelyoffset', 1.4*median(cfg.layout.height/2), 'labelalignh', 'center', 'chanindx', find(~ismember(cfg.layout.label, {'COMNT', 'SCALE'})), 'interpreter', cfg.interpreter);
% write comment
if istrue(cfg.showcomment)
% Add the colors of the different conditions/datasets to the comment
colorLabels = [];
if Ndata > 1 && strcmp(cfg.colorgroups, 'condition')
for i=1:Ndata
if ischar(linecolor)
colorLabels = [colorLabels '\n' dataname{i} '=' linecolor(i) ];
elseif isnumeric(linecolor)
colorLabels = [colorLabels '\n' dataname{i} '=' num2str(linecolor(i, :)) ];
cfg.comment = [cfg.comment colorLabels];
k = find(strcmp('COMNT', cfg.layout.label));
if ~isempty(k)
limittext = cfg.limittext;
if ~strcmp(limittext, 'default')
comment = limittext;
comment = cfg.comment;
comment = sprintf('%0s\nxlim=[%.3g %.3g]', comment, xmin, xmax);
comment = sprintf('%0s\nylim=[%.3g %.3g]', comment, ymin, ymax);
ft_plot_text(cfg.layout.pos(k, 1), cfg.layout.pos(k, 2), sprintf(comment), 'FontSize', cfg.fontsize, 'FontWeight', cfg.fontweight);
% plot an invisible box, the text itself is not sufficient to get the automatic scaling of the figures axes to include COMNT
xy(1) = cfg.layout.pos(k, 1) - cfg.layout.width(k, 1)/2;
xy(2) = cfg.layout.pos(k, 1) + cfg.layout.width(k, 1)/2;
xy(3) = cfg.layout.pos(k, 2) - cfg.layout.height(k, 1)/2;
xy(4) = cfg.layout.pos(k, 2) + cfg.layout.height(k, 1)/2;
ft_plot_box(xy, 'edgecolor', 'none');
% Plot scales
if istrue(cfg.showscale)
l = find(strcmp(cfg.layout.label, 'SCALE'));
if ~isempty(l)
x = cfg.layout.pos(l,1);
y = cfg.layout.pos(l,2);
plotScales([xmin xmax], [ymin ymax], x, y, chanWidth(1), chanHeight(1), cfg)
axis tight
axis off
% Make the axis a little wider when boxes are shown
if strcmp(, 'yes')
abc = axis;
axis(abc + [-1 +1 -1 +1]*mean(abs(abc))/10)
% Set orientation for printing if specified
if ~isempty(cfg.orient)
orient(gcf, cfg.orient);
% set the figure window title
if ~isempty(dataname)
set(gcf, 'Name', sprintf('%d: %s: %s', double(gcf), mfilename, join_str(', ', dataname)));
set(gcf, 'Name', sprintf('%d: %s', double(gcf), mfilename));
set(gcf, 'NumberTitle', 'off');
% Make the figure interactive
if strcmp(cfg.interactive, 'yes')
% add the cfg/data/channel information to the figure under identifier linked to this axis
ident = ['axh' num2str(round(sum(clock.*1e6)))]; % unique identifier for this axis
set(gca, 'tag', ident);
info = guidata(gcf);
info.(ident).x = cfg.layout.pos(:, 1);
info.(ident).y = cfg.layout.pos(:, 2);
info.(ident).label = cfg.layout.label;
info.(ident).dataname = dataname;
info.(ident).cfg = cfg;
info.(ident).varargin = varargin;
guidata(gcf, info);
set(gcf, 'WindowButtonUpFcn', {@ft_select_channel, 'multiple', true, 'callback', {@select_singleplotER}, 'event', 'WindowButtonUpFcn'});
set(gcf, 'WindowButtonDownFcn', {@ft_select_channel, 'multiple', true, 'callback', {@select_singleplotER}, 'event', 'WindowButtonDownFcn'});
set(gcf, 'WindowButtonMotionFcn', {@ft_select_channel, 'multiple', true, 'callback', {@select_singleplotER}, 'event', 'WindowButtonMotionFcn'});
% do the general cleanup and bookkeeping at the end of the function
ft_postamble debug
ft_postamble trackconfig
ft_postamble previous varargin
ft_postamble provenance
ft_postamble savefig
% add a menu to the figure, but only if the current figure does not have subplots
menu_fieldtrip(gcf, cfg, false);
if ~ft_nargout
% don't return anything
clear cfg
function plotScales(hlim, vlim, hpos, vpos, width, height, cfg)
% the placement of all elements is identical
placement = {'hpos', hpos, 'vpos', vpos, 'width', width, 'height', height, 'hlim', hlim, 'vlim', vlim};
ft_plot_box([hlim vlim], placement{:}, 'edgecolor', 'k');
if hlim(1)<=0 && hlim(2)>=0
ft_plot_line([0 0], vlim, placement{:}, 'color', 'k');
ft_plot_text(0, vlim(1), '0 ', placement{:}, 'rotation', 90, 'HorizontalAlignment', 'right', 'VerticalAlignment', 'middle', 'FontSize', cfg.fontsize);
if vlim(1)<=0 && vlim(2)>=0
ft_plot_line(hlim, [0 0], placement{:}, 'color', 'k');
ft_plot_text(hlim(1), 0, '0 ', placement{:}, 'HorizontalAlignment', 'Right', 'VerticalAlignment', 'middle', 'FontSize', cfg.fontsize);
ft_plot_text(hlim(1), vlim(1), [num2str(hlim(1), 3) ' '], placement{:}, 'rotation', 90, 'HorizontalAlignment', 'right', 'VerticalAlignment', 'top', 'FontSize', cfg.fontsize);
ft_plot_text(hlim(2), vlim(1), [num2str(hlim(2), 3) ' '], placement{:}, 'rotation', 90, 'HorizontalAlignment', 'right', 'VerticalAlignment', 'bottom', 'FontSize', cfg.fontsize);
ft_plot_text(hlim(1), vlim(1), [num2str(vlim(1), 3) ' '], placement{:}, 'HorizontalAlignment', 'Right', 'VerticalAlignment', 'bottom', 'FontSize', cfg.fontsize);
ft_plot_text(hlim(1), vlim(2), [num2str(vlim(2), 3) ' '], placement{:}, 'HorizontalAlignment', 'Right', 'VerticalAlignment', 'top', 'FontSize', cfg.fontsize);
% SUBFUNCTION which is called after selecting channels in case of cfg.interactive='yes'
function select_singleplotER(label, varargin)
% fetch cfg/data based on axis indentifier given as tag
ident = get(gca,'tag');
info = guidata(gcf);
cfg = info.(ident).cfg;
datvarargin = info.(ident).varargin;
if ~isempty(label)
cfg = removefields(cfg, 'inputfile'); % the reading has already been done and varargin contains the data
cfg.baseline = 'no'; % make sure the next function does not apply a baseline correction again = label;
cfg.dataname = info.(ident).dataname; % put data name in here, this cannot be resolved by other means
cfg.trials = 'all'; % trial selection has already been taken care of
fprintf('selected = {%s}\n', join_str(', ',;
% ensure that the new figure appears at the same position
cfg.figure = 'yes';
cfg.position = get(gcf, 'Position');
ft_singleplotER(cfg, datvarargin{:});