crqa.m 53.40 KiB
function xout=crqa(varargin)
%CRQA Computes and plots the CRQA measures.
% Y=CRQA(X [,Y] [,param1,param2,...])
% Recurrence quantification analysis of the cross recurrence
% plot of the vectors X and Y.
%
% The input vectors can be multi-column vectors, where
% each column will be used as a component of the
% phase-space vector. However, if the first column is
% monotonically increasing, it will be used as an
% time scale for plotting.
%
% Y=CRQA(X,M,T,E,W,WS,LMIN,VMIN,TW) computes the
% recurrence quantification analysis of the recurrence
% plot of X by using the dimension M, delay T, the
% size of neighbourhood E, the window size W and
% a window shifting value of WS. LMIN and VMIN
% specify the minimal length of diagonal and vertical
% line structures (default is 2) and TW specifies the
% Theiler window (default is 1).
%
% CRQA(...) without any output arguments opens a
% GUI for interactively control the CRQA. If an
% output is specified with using the option 'gui',
% then the output will contain the figure handle.
%
% Parameters:
% Dimension M, delay T, the size of
% neighbourhood E, the window size W and the shift
% value WS are the first five numbers after the data
% series; if W is empty, the whole plot will be calculated.
% The next two optional numeric parameters LMIN and VMIN
% specify the minimal length of line structures.
%
% As the last numeric parameter, the size of the Theiler
% window TW can be specified (default is 1). This window
% excludes the recurrence points parallel to the main
% diagonal from the analysis. The application of the
% Theiler window is useful only for recurrence plots. In
% cross recurrence plots, the size of the Theiler window will
% be set automatically to zero.
%
% Further parameters can be used to switch between various
% methods of finding the neighbours of the phasespace
% trajectory, to suppress the normalization of the data
% and to suppress the GUI (useful in order to use this
% programme by other programmes). The minimal length of
% diagonal and vertical structures can be setted only in
% the GUI.
%
% Methods of finding the neighbours.
% maxnorm - Maximum norm.
% euclidean - Euclidean norm.
% minnorm - Minimum norm.
% nrmnorm - Euclidean norm between normalized vectors
% (all vectors have the length one).
% rr - Maximum norm, fixed recurrence rate.
% fan - Fixed amount of nearest neighbours.
% inter - Interdependent neighbours.
% omatrix - Order matrix.
% opattern - Order patterns recurrence plot.
%
% Normalization of the data series.
% normalize - Normalization of the data.
% nonormalize - No normalization of the data.
%
% Suppressing the GUI.
% gui - Creates the GUI.
% nogui - Suppresses the GUI.
% silent - Suppresses all output.%
% Parameters not needed to be specified.
%
% Output:
% Y(:, 1) = RR (recurrence rate)
% Y(:, 2) = DET (determinism)
% Y(:, 3) = <L> (mean diagonal line length)
% Y(:, 4) = Lmax (maximal diagonal line length)
% Y(:, 5) = ENTR (entropy of the diagonal line lengths)
% Y(:, 6) = LAM (laminarity)
% Y(:, 7) = TT (trapping time)
% Y(:, 8) = Vmax (maximal vertical line length)
% Y(:, 9) = T1 (recurrence time of 1st type)
% Y(:,10) = T2 (recurrence time of 2nd type)
% Y(:,11) = RTE (recurrence time entropy, i.e., RPDE)
% Y(:,12) = Clust (clustering coefficient)
% Y(:,13) = Trans (transitivity)
%
% The window of length w is applied on the data and not on the RP,
% i.e. the RP will have smaller size than the window, thus w-(m-1)*tau.
% If we consider the data window at time i ... i+w, the corresponding RQA
% measures are assigned to time i. Therefore, if you see a beginning
% of a transition in the plot of the RQA measures at time i, this
% transition will probably happen at time i+w-(m-1)*tau.
%
% Warning:
% The RQA measures may differ from those of the RQA programmes by
% Charles Webber Jr. For compatibility use a Theiler window of
% size one and ensure that the data are normalized before by the
% same distance which is used in the RQA programmes; e.g. normalize
% with the maximal phase space diameter, which can be estimated
% with the programme PSS:
%
% RQA = crqa(100*x/pss(x,dim,lag,'euclidean'),...
% dim,lag,e,[],[],l_min,v_min,1,...
% 'euclidean','nonormalize','silent')
%
% Examples: a = randn(300,1);
% crqa(a,1,1,.2,40,2,'euc')
%
% N = 500; w = 40; ws = 2;
% a = 3.4:.6/(N-1):4;
% b = .5; for i = 2:N, b(i) = a(i)*b(i-1)*(1-b(i-1)); end
% y = crqa(b,3,2,.1,w,ws);
% subplot(2,1,1), plot(a,b,'.','markersize',.1)
% title('logistic map'), axis([3.4 4 0 1])
% subplot(2,1,2), plot(a(1:ws:N-w),y(1:ws:N-w,1))
% ylabel('recurrence rate'), axis([3.4 4 0 1])
%
%
% See also CRQAD, CRQAD_BIG, CRP, CRP2, CRP_BIG, DL, TT, PSS.
%
% References:
% Marwan, N., Romano, M. C., Thiel, M., Kurths, J.:
% Recurrence Plots for the Analysis of Complex Systems,
% Phys. Rep., 438, 2007.
%
% Little, M., McSharry, P., Roberts, S., Costello, D., Moroz, I.:
% Exploiting Nonlinear Recurrence and Fractal Scaling Properties
% for Voice Disorder Detection, Biomed. Eng. Online, 6, 2007.
%
% Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.-U.:
% Complex networks: Structures and dynamics,
% Phys. Rep., 424, 2006.
%
% Marwan, N., Donges, J. F., Zou, Y., Donner, R. V., Kurths, J.:
% Complex network approach for recurrence analysis of time series,
% Phys. Lett. A, 373(46), 2009.
% Copyright (c) 2008-2009% Norbert Marwan, Potsdam Institute for Climate Impact Research, Germany
% http://www.pik-potsdam.de
%
% Copyright (c) 1998-2008
% Norbert Marwan, Potsdam University, Germany
% http://www.agnld.uni-potsdam.de
%
% $Date$
% $Revision$
%
% $Log$
% Revision 5.47 2013/08/22 06:35:01 marwan
% bugfix in estimation black and white vertical lines
%
% Revision 5.46 2013/08/21 09:09:59 marwan
% bugfix for mixed output RTE and T2
% bugfix for recurrence time estimation
%
% Revision 5.45 2012/11/14 13:07:03 marwan
% bugfix for RTE for very short time series
%
% Revision 5.44 2010/09/09 10:40:01 marwan
% bugfix in cross version for calculation of network measures
%
% Revision 5.43 2010/08/27 11:16:31 marwan
% fix output of network measures
%
% Revision 5.42 2010/07/07 08:26:30 marwan
% updated references
% bug in mean clustering coefficient
%
% Revision 5.41 2010/06/30 12:01:53 marwan
% RPDE, Clustering and Transitivity added
%
% Revision 5.40 2010/06/29 12:48:56 marwan
% better debugging performance if error occurs
%
% Revision 5.39 2010/01/06 08:58:59 marwan
% adding pdist as an alternative to get the RP
%
% Revision 5.38 2009/05/14 16:20:32 marwan
% automatic window length determination restored back
% further argument checking (extreme embedding) added
%
% Revision 5.37 2009/03/31 12:28:26 marwan
% automatic window length determination corrected
%
% Revision 5.36 2009/03/24 08:35:00 marwan
% corrected DET calculation when using Theiler window
%
% Revision 5.35 2008/03/05 17:43:08 marwan
% missed Vmax
%
% Revision 5.34 2007/12/20 16:23:49 marwan
% bug in crqa output resolved
%
% Revision 5.33 2007/07/18 17:18:44 marwan
% integer values in the arguments supported
%
% Revision 5.32 2007/05/15 17:33:13 marwan
% new neighbourhood criterion: fixed RR
%
% Revision 5.31 2007/01/10 12:29:24 marwan
% bug fix: rare bug due to a Matlab bug in MenuBar property for some XWindows systems (and only if matlab is running without java)
%
% Revision 5.30 2006/11/27 11:45:40 marwan
% bug entropy vertical white lines resolved
%
% Revision 5.29 2006/10/24 14:16:16 marwan
% minor change: sigma in title line of RP shown only for normalised data%
% Revision 5.28 2006/09/13 15:53:36 marwan
% Bug during printing solved
%
% Revision 5.27 2006/07/04 14:04:22 marwan
% order patterns for multi-column vectors without embedding
%
% Revision 5.26 2006/03/29 13:07:55 marwan
% problems regarding OPRPs and embedding resolved
%
% Revision 5.25 2006/02/14 11:45:49 marwan
% *** empty log message ***
%
% Revision 5.24 2006/02/08 13:25:12 marwan
% bug in plugin support (lmin and vmin not correct) resolved
%
% Revision 5.23 2006/02/06 14:55:41 marwan
% bug in order patterns plugin support solved
%
% Revision 5.22 2006/02/06 13:46:17 marwan
% plugin for order patterns recurrence plots supported
%
% Revision 5.21 2005/11/28 10:16:35 marwan
% && and || changed to & and |
% (seems to cause problems in Matlab 12.1)
%
% Revision 5.20 2005/09/13 12:08:12 marwan
% fix of a serious bug in the GUI
%
% Revision 5.19 2005/07/29 09:02:59 marwan
% normalization bug resolved
%
% Revision 5.18 2005/04/15 09:02:32 marwan
% minor bugfix in plugin section
%
% Revision 5.17 2005/04/08 09:54:11 marwan
% plugin added
%
% Revision 5.15 2005/04/06 13:29:12 marwan
% computation of recurrence times is now faster
%
% Revision 5.14 2005/04/06 12:59:24 marwan
% several small bug fixes which improves the precision
%
% Revision 5.13 2005/04/01 12:19:51 marwan
% bug in minimal length for diagonal and vertical lines fixed
%
% Revision 5.12 2005/03/16 13:16:12 marwan
% bug in output fixed (same time scales for all sub-plots)
%
% Revision 5.11 2005/03/16 12:23:08 marwan
% support long data series by using crp_big
%
% Revision 5.10 2005/03/16 11:23:52 marwan
% automatic detection:
% * of provided time-scale
% * if multi-column input can be used as phase-space vector
%
% Revision 5.9 2004/12/23 07:49:03 marwan
% bug in order patterns RP fixed (empty order patterns)
%
% Revision 5.8 2004/11/15 12:56:01 marwan
% bug fix in method checking
%
% Revision 5.7 2004/11/15 12:53:27 marwan
% covariance plot commented out
%
% Revision 5.6 2004/11/12 08:40:46 marwan
% order patterns recurrence plot added
%% Revision 5.5 2004/11/10 07:04:50 marwan
% initial import
%
%
% This program is part of the new generation XXII series.
%
% This program 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 2
% of the License, or any later version.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% programme properties
global errcode props
init_properties
lmin=2;
vmin=2;
nonorm=1;
theiler_window=1;
hw=-1;
xscale = [];
yscale = [];
undocumented = 0;
argout_index=[1,2,3,4,5,6,7,8,9,10,11,12,13];
RTE = NaN; Clust = NaN; Trans = NaN;
flag_pdist = 0; % use Matlab function PDIST, but only working for single x
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% check the input
error(nargchk(1,13,nargin));
if nargout>1, error('Too many output arguments'), end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% splash the GPL
splash_gpl('crp');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% check and read the input
try
errcode=1;
set(0,'ShowHidden','on')
varargin{14}=[];
t=1;
w=[];wstep=0; method='max'; method_n=1;
time_scale_flag=1; time_scale_flag_x=1;
nogui=0;
% transform any int to double
intclasses = {'uint8';'uint16';'uint32';'uint64';'int8';'int16';'int32';'int64'};
flagClass = [];
for i = 1:length(intclasses)
i_int=find(cellfun('isclass',varargin,intclasses{i}));
if ~isempty(i_int)
for j = 1:length(i_int)
varargin{i_int(j)} = double(varargin{i_int(j)});
end
flagClass = [flagClass; i_int(:)];
end
end
if ~isempty(flagClass)
disp(['Warning: Input arguments at position [',num2str(flagClass'),'] contain integer values']);
disp(['(now converted to double).'])
end
i_double=find(cellfun('isclass',varargin,'double')); i_char=find(cellfun('isclass',varargin,'char'));
check_meth={'ma','eu','mi','nr','rr','fa','in','om','op','di'}; % maxnorm, euclidean, nrmnorm, fan, distance
check_gui={'gui','nog','sil'}; % gui, nogui, silent
check_norm={'non','nor'}; % nonormalize, normalize
if nargin & ischar(varargin{1})
set(0,'ShowHidden','on');h=findobj('Tag','Msgbox_Check Input');delete(h)
action=varargin{1};
h=findobj('Tag','crqa_Fig');
temp=get(h(1),'UserData');
x=temp{1}; y=temp{2};
h=findobj('Tag','crqa_axes_Data','Parent',h(1)); % get handle of plot-axes object
h_crqa_axes_Data = h(1);
h=findobj('Type','line','Parent',h(1)); % get handle of line-object
xscale=get(h(1),'xdata');
h=findobj('Tag','crqa_m');
m=str2num(get(h(1),'String'));
h=findobj('Tag','crqa_maxLag');
t=str2num(get(h(1),'String'));
h=findobj('Tag','crqa_eps');
e=str2num(get(h(1),'String'));
h=findobj('Tag','crqa_method');
method={'Maximum Norm','Euclidean Norm','Minimum Norm','Normalized Norm','Maximum Norm, fixed RR','FAN','Interdependent','Order Matrix','Order Pattern','Distance Plot'};
method=method{get(h(1),'Value')};
method_n = get(h(1),'Value');
nonorm=get(h(1),'UserData');
h=findobj('Tag','crqa_lmin');
lmin=str2num(get(h(1),'String'));
h=findobj('Tag','crqa_vmin');
vmin=str2num(get(h(1),'String'));
h=findobj('Tag','crqa_theiler');
theiler_window=str2num(get(h(1),'String'));
h=findobj('Tag','crqa_w');
w=str2num(get(h(1),'String'));
h=findobj('Tag','crqa_ws');
wstep=str2num(get(h(1),'String'));
elseif nargin & isnumeric(varargin{1})
% check the text input parameters for method, gui
temp_meth=0;
temp_norm=0;
temp_gui=0;
if ~isempty(i_char)
for i=1:length(i_char),
varargin{i_char(i)}(4)='0';
temp_gui=temp_gui+strcmpi(varargin{i_char(i)}(1:3),check_gui');
temp_norm=temp_norm+strcmpi(varargin{i_char(i)}(1:3),check_norm');
temp_meth=temp_meth+strcmpi(varargin{i_char(i)}(1:2),check_meth');
end
method_n=min(find(temp_meth));
nogui=min(find(temp_gui))-1;
nonorm=min(find(temp_norm))-1;
for i=1:length(i_char); temp2(i,:)=varargin{i_char(i)}(1:3); end
i_char(strmatch(check_gui(find(temp_gui)),temp2))=[];
if isempty(nonorm), nonorm=1; end
if nonorm>1, nonorm=1; end
if isempty(nogui), nogui=0; end
if isempty(method_n), method_n=1; end
if nogui>2, nogui=1; end
if method_n>length(check_meth), method0=length(check_meth); end
method=check_meth{method_n};
else
nogui=0;
if nargout
nogui=1;
action='compute';
end
end
if nogui==0 action='init';
else
action='compute';
end
% get the parameters for creating RP
if max(size(varargin{1}))<=3
disp('Error using ==> crqa')
disp('To less values in data X.')
return
end
x=double(varargin{1});
if isempty(varargin{2}) | ~isnumeric(varargin{2}), y=x; else
y=double(varargin{2}); end
% if sum(double(diff(x(:,1))<=0)), time_scale_flag=0; end
if (isnumeric(varargin{2}) & max(size(varargin{2}))==1) | ~isnumeric(varargin{2})
y=x;
if ~isempty(varargin{i_double(2)}), m=varargin{i_double(2)}(1); else m=1; end
if ~isempty(varargin{i_double(3)}), t=varargin{i_double(3)}(1); else t=1; end
if ~isempty(varargin{i_double(4)}), e=varargin{i_double(4)}(1); else e=.1; end
if ~isempty(varargin{i_double(5)}), w=varargin{i_double(5)}(1); else w=varargin{i_double(5)}; end
if ~isempty(varargin{i_double(6)}), wstep=varargin{i_double(6)}(1); else wstep=1; end
if ~isempty(varargin{i_double(7)}), lmin=varargin{i_double(7)}(1); end
if ~isempty(varargin{i_double(8)}), vmin=varargin{i_double(8)}(1); end
if ~isempty(varargin{i_double(9)}), theiler_window=varargin{i_double(9)}(1); end
else
if ~isempty(varargin{i_double(3)}), m=varargin{i_double(3)}(1); else m=1; end
if ~isempty(varargin{i_double(4)}), t=varargin{i_double(4)}(1); else t=1; end
if ~isempty(varargin{i_double(5)}), e=varargin{i_double(5)}(1); else e=.1; end
if ~isempty(varargin{i_double(6)}), w=varargin{i_double(6)}(1); else w=varargin{i_double(6)}; end
if ~isempty(varargin{i_double(7)}), wstep=varargin{i_double(7)}(1); else wstep=1; end
if ~isempty(varargin{i_double(8)}), lmin=varargin{i_double(8)}(1); end
if ~isempty(varargin{i_double(9)}), vmin=varargin{i_double(9)}(1); end
if ~isempty(varargin{i_double(10)}), theiler_window=varargin{i_double(10)}(1); end
end
else
disp('Error using ==> crqa')
disp('No valid arguments.')
return
end
if method==8 & m > 1,
m=1;
disp('Warning: For order matrix a dimension of one is used.')
end
Nx=length(x); Ny=length(y);
if size(x,1)<size(x,2), x=x'; end
if size(y,1)<size(y,2), y=y'; end
if (strcmpi(method,'Order Pattern') | strcmpi(method,'op')) & m == 1 & size(x,2) < 2
m=2;
h = findobj('Tag','crqa_m');
if ~isempty(h)
errordlg(['For order patterns recurrence plots the',10,'dimension must be larger than one.'],'Dimension too small')
set(h(1),'String',num2str(m))
else
disp(['Warning: For order patterns recurrence plots the dimension must',10,...
'be larger than one. ',...
'Embedding dimension is set to ',num2str(m),'.'])
end
end
if size(x,2)>=2
xscale=x(:,1);
if ~isempty(find(diff(xscale)<0)) % multi-column data vector, each column used as vector component
time_scale_flag=0;
time_scale_flag_x=0; xscale=(1:length(x))';
end
else
xscale=(1:length(x))';
time_scale_flag=0;
time_scale_flag_x=0;
end
if size(y,2)>=2
yscale=y(:,1);
time_scale_flag=1;
if ~isempty(find(diff(yscale)<0))
time_scale_flag=0;
yscale=(1:length(y))';
end
if time_scale_flag & ~time_scale_flag_x % if time-scale given in y, but not in x -> error
if ~nogui
errordlg(['A time-scale for the second data is series given, but not for the first!',10,'(The time-scale has to be inlcuded as the first colummn of the first data vector.)'],'Check Data')
waitforbuttonpress
return
else
error(['A time-scale for the second data series is given, but not for the first!',10,'(The time-scale has to be inlcuded as the first colummn of the first data vector.)'])
end
end
else
yscale=(1:length(y))';
time_scale_flag=0;
end
if time_scale_flag_x & ~time_scale_flag % if time-scale given in x, but not in y
if length(x) ~= length(y)
if ~nogui
errordlg(['If you are using the time-scale given by the first vector also for',10,'the second vector, both vectors should have the same size!'],'Check Data')
waitforbuttonpress
return
else
error(['If you are using the time-scale given by the first vector also for',10,'the second vector, both vectors should have the same size!'])
end
end
y = [xscale, y];
yscale = xscale;
time_scale_flag=1;
end
if max(size(x))~=max(size(y)),
if ~nogui, errordlg('Data must have the same length.','Check Data'), waitforbuttonpress, return, else error('Data must have the same length.'), end
end
if e<0,
e=1;
if ~nogui
warndlg('The threshold size E can not be negative and is now set to 1.','Check Data')
waitforbuttonpress
h=findobj('Tag','crqa_eps');
if ~isempty(h), set(h(1),'String',num2str(e)), end
else
disp('The threshold size E can not be negative and is now set to 1.'),
end
end
if t<1,
t=1;
if ~nogui
warndlg('The delay T can not be smaller than one and is now set to 1.','Check Data')
waitforbuttonpress
h=findobj('Tag','crqa_maxLag');
if ~isempty(h), set(h(1),'String',num2str(t)), end
else
disp('The delay T can not be smaller than one and is now set to 1.')
end
end
if m < 1; m = 1; end
if (Nx - (m-1) * t) < 5
disp('Error using ==> crqa')
disp('Too less data.')
xout = [];
return
end
% if isempty(w), w=Nx-(m-1)*t; wstep=1; end
if isempty(w), w=Nx; wstep=1; end
if w < 5+(m-1)*t,
w=5+(m-1)*t;
if w > Nx, w = Nx; end
if ~nogui, warndlg('The window size W falls below the valid range.','Check Data')
waitforbuttonpress
h=findobj('Tag','crqa_w');
if ~isempty(h), set(h(1),'String',num2str(w)), end
else, disp('The window size W falls below the valid range.'), end
end
% if w>Nx-(m-1)*t,
if w>Nx,
% w=Nx-(m-1)*t; wstep=1;;
w=Nx; wstep=1;;
if ~nogui, warndlg('The window size W exceeds the valid range.','Check Data')
waitforbuttonpress
h=findobj('Tag','crqa_w');
if ~isempty(h), set(h(1),'String',num2str(w)), end
else, disp('The window size W exceeds the valid range.'), end
end
if wstep<1 | wstep>Nx/3,
wstep=2;
if ~nogui, warndlg('The window shifting value WS exceeds the valid range.','Check Data')
waitforbuttonpress
h=findobj('Tag','crqa_ws');
if ~isempty(h), set(h(1),'String',num2str(wstep)), end
else, disp('The window shifting value WS exceeds the valid range.'), end
end
if vmin<1 | vmin>Nx,
vmin=2;
if ~nogui, warndlg('The minimal length for vertical lines is not valid.','Check Data')
waitforbuttonpress
h=findobj('Tag','crqa_vmin');
if ~isempty(h), set(h(1),'String',num2str(vmin)), end
else, disp('The minimal length for vertical lines is not valid.'), end
end
if lmin<1 | lmin>Nx,
lmin=2;
if ~nogui, warndlg('The minimal length for diagonal lines is not valid.','Check Input')
waitforbuttonpress
h=findobj('Tag','crqa_lmin');
if ~isempty(h), set(h(1),'String',num2str(lmin)), end
else, disp('The minimal length for diagonal lines is not valid.'), end
end
if theiler_window<0 | theiler_window>Nx,
theiler_window=1;
if ~nogui, warndlg('The value for the Theiler window is not valid.','Check Input')
waitforbuttonpress
h=findobj('Tag','crqa_theiler');
if ~isempty(h), set(h(1),'String',num2str(theiler_window)), end
else, disp('The value for the Theiler window is not valid.'), end
end
if x~=y, theiler_window=0; end
t=round(t); m=round(m); w=round(w); wstep=round(wstep); vmin=round(vmin); lmin=round(lmin); theiler_window=round(theiler_window);
% normalize data if necessary
if nonorm
x = (x - repmat(mean(x),length(x),1)) ./ repmat(std(x),length(x),1);
y = (y - repmat(mean(y),length(y),1)) ./ repmat(std(y),length(y),1); end
switch(action)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% create gui
case 'init'
errcode=3;
oldunit=get(0,'unit');
set(0,'Unit','char')
scr=get(0,'ScreenSize');
set(0,'Unit',oldunit)
h8=figure(props.window,... % Plot Figure
'Tag','crqa_Fig',...
'MenuBar','Figure',...
'Position',[(scr(3)-150)/2 scr(4)-50 150.0000 44],...
'PaperType','a4',...
'PaperPosition',[0.25 0.25 7.7677 11.193],...
'PaperOrientation','portrait',...
'MenuBar','none', ...
'UserData',{x,y,time_scale_flag},...
'Name','Cross Recurrence Quantification Analysis');
set(0,'showhidden','on')
h=findobj('Label','&Help','Type','uimenu');
if isempty(h)
h=uimenu('Label','&Help');
h2=uimenu('Parent',h(1),'Label','&Help Cross Recurrence Quantification Analysis','Callback','helpwin crqa');
else
h1=flipud(get(h(1),'Children'));
set(h1(1),'Separator','on')
h2=uimenu('Parent',h(1),'Label','&Help Cross Recurrence Quantification Analysis','Callback','helpwin crqa');
copyobj(h1,h(1))
delete(h1)
end
set(0,'showhidden','off')
h=axes(props.axes,...
'Position',[89+30 24.8+14.5 6.8 3.5]);
logo=load('logo');
h2=imagesc([logo.logo fliplr(logo.logo)]);
set(h2,'Tag','uniLogo')
set(h,props.logo,'Tag','axes_logo')
h=uicontrol(props.text,...
'Tag','text_logo',...
'String','Uni Potsdam',...
'Position',[97+30 24.2143+14.5 22 3.5714]);
h2=textwrap(h,{[char(169),' AGNLD'],'University of Potsdam','1998-2007'});
set(h,'String',h2)
%%%%%%%%%%% plots
axes_height = 5.8;
axes_base = 3;
axes_hoffset = 2.5;
h=axes(props.axes,...
'Tag','crqa_axes_Data',...
'Box','On',...
'Position',[11.2017 axes_base+4*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
if time_scale_flag
plot(xscale,x(:,2:end),'color',props.line.Color)
if ~all(x(:)==y(:)) hold on; plot(yscale,y(:,2:end),'r'), end else
plot(xscale,x(:,1:end),'color',props.line.Color)
if ~all(x(:)==y(:)) hold on; plot(yscale,y(:,1),'r'), end
end
set(h,'Tag','crqa_axes_Data','color',props.axes.Color)
ylabel('Data')
h=axes(props.axes,...
'Tag','crqa_axes_Var',...
'Box','On',...
'Position',[49.8023+15 axes_base+4*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
if time_scale_flag
x_var = winplot(x(:,2:end),w,wstep,2);
else
x_var = winplot(x(:,1),w,wstep,2);
end
if size(x_var,1) > 2
h2=stairs(xscale(round(x_var(:,1))),x_var(:,2));
set(h2,'color',props.line.Color)
else
cla
text(0.5,0.5,sprintf('%6.4f',x_var(1,2)),'FontWeight','bold','HorizontalAlign','Center')
end
if ~all(x(:)==y(:))
hold on;
if time_scale_flag
y_var = winplot(y(:,2:end),w,wstep,2);
else
y_var = winplot(y(:,1),w,wstep,2);
end
if size(y_var,1) > 2
stairs(yscale(round(y_var(:,1))),y_var(:,2),'r')
else
cla
text(0.5,0.5,sprintf('%6.5f, %6.5f',x_var(2,2),y_var(1,2)),'FontWeight','bold','HorizontalAlign','Center')
end
h3=axes('Units','Char',...
'Pos',get(h,'Pos'),...
'XLim',get(h,'XLim'),...
'YLim',get(h,'YLim'),...
'YAxisLocation','right',...
'Color','none',...
'Tag','crqa_axes_CoVar',...
'visible','off');
end
set(gcf,'CurrentAxes',h);
ylabel('Variance')
set(h,'Tag','crqa_axes_Var','color',props.axes.Color)
h=axes(props.axes,...
'Tag','crqa_axes_RR',...
'Box','On',...
'Position',[11.2017 axes_base+3*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('RR')
h=axes(props.axes,...
'Tag','crqa_axes_DET',...
'Box','On',...
'Position',[49.8023+15 axes_base+3*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('DET')
h=axes(props.axes,...
'Tag','crqa_axes_L',...
'Box','On',...
'Position',[11.2017 axes_base+2*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('L')
h=axes(props.axes,...
'Tag','crqa_axes_ENTR',... 'Box','On',...
'Position',[49.8023+15 axes_base+2*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('ENTR')
h=axes(props.axes,...
'Tag','crqa_axes_LAM',...
'Box','On',...
'Position',[11.2017 axes_base+1*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('LAM')
h=axes(props.axes,...
'Tag','crqa_axes_TT',...
'Box','On',...
'Position',[49.8023+15 axes_base+1*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('TT')
h=axes(props.axes,...
'Tag','crqa_axes_RTE',...
'Box','On',...
'Position',[11.2017 axes_base+0*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('RTE')
h=axes(props.axes,...
'Tag','crqa_axes_T2',...
'Box','On',...
'Position',[49.8023+15 axes_base+0*(axes_height+axes_hoffset) 28.1785+15 axes_height]);
ylabel('T_2')
%%%%%%%%%%% embedding
h=uicontrol(props.frame,...
'Tag','frame',...
'Position',[86+30 29.+2.8 29 5.7]);
h=uicontrol(props.text,...
'Tag','text',...
'Fontangle','italic',...
'String','Embedding parameters',...
'Position',[87+30 34.2+1.6 16.8333 1.5000]);
h=uicontrol(props.text,...
'Tag','text',...
'String','Dimension:',...
'Position',[89+30 32+2.2 16.8333 1.5000]);
h=uicontrol(props.edit,...
'Tag','crqa_m',...
'String',num2str(m),...
'ToolTip','Select the embedding dimension.',...
'Position',[104+30 32+.2+2.2 7 1.5000]);
h=uicontrol(props.text,...
'Tag','text',...
'String','Delay:',...
'Position',[89+30 30+2.32 16.8333 1.5000]);
h=uicontrol(props.edit,...
'Tag','crqa_maxLag',...
'String',num2str(t),...
'ToolTip','Insert the embedding delay time.',...
'Position',[104+30 30+.2+2.32 7 1.5000]);
%%%%%%%%%%% neigbourhood
h=uicontrol(props.frame,...
'Tag','frame',...
'Position',[86+30 21.9+2.5 29 6.7]);
h=uicontrol(props.text,...
'Tag','text',...
'Fontangle','italic',...
'String','Neighbourhood',... 'Position',[87+30 26.8+2.5 23 1.5000]);
h=uicontrol(props.popup,...
'Tag','text',...
'Tag','crqa_method',...
'UserData',nonorm,...
'Value',method_n,...
'String','Maximum Norm|Euclidean Norm|Minimum Norm|Normalized Norm|Fixed RR|Fixed Amount|Interdependent|Order Matrix|Order Patterns|Distance Plot',...
'Position',[89+30 24.6+.2+2.5 22 1.7]);
h=uicontrol(props.text,...
'Tag','text',...
'String','Threshold:',...
'Position',[89+30 22.6+2.5 16.8333 1.5]);
h=uicontrol(props.edit,...
'Tag','crqa_eps',...
'String',num2str(e),...
'ToolTip','Insert the size of neighbourhood.',...
'Position',[104+30 22.6+.2+2.5 7 1.5000]);
%%%%%%%%%%% crqa parameters
h=uicontrol(props.frame,...
'Tag','frame',...
'Position',[86+30 11+.5 29 12.2]);
h=uicontrol(props.text,...
'Tag','text',...
'Fontangle','italic',...
'String','CRQA parameters',...
'Position',[87+30 19.4+2.5 23 1.5000]);
h=uicontrol(props.text,...
'Tag','text',...
'String','min. Diagonal:',...
'Position',[89+30 17.6+2.5 16.8333 1.5]);
h=uicontrol(props.edit,...
'Tag','crqa_lmin',...
'String',num2str(lmin),...
'ToolTip','Insert the minimal length of a diagonal line.',...
'Position',[104+30 17.6+.2+2.5 7 1.5000]);
h=uicontrol(props.text,...
'Tag','text',...
'String','min. Vertical:',...
'Position',[89+30 15.6+2.5 16.8333 1.5]);
h=uicontrol(props.edit,...
'Tag','crqa_vmin',...
'String',num2str(vmin),...
'ToolTip','Insert the minimal length of a vertical line.',...
'Position',[104+30 15.6+.2+2.5 7 1.5000]);
h=uicontrol(props.text,...
'Tag','text',...
'String','Theiler wind.:',...
'Position',[89+30 15.6+.5 16.8333 1.5]);
h=uicontrol(props.edit,...
'Tag','crqa_theiler',...
'String',num2str(theiler_window),...
'ToolTip','Insert the size for the Theiler window.',...
'Position',[104+30 15.6+.2+.5 7 1.5000]);
if x~=y; set(h,'enable','off'); end
h=uicontrol(props.text,...
'Tag','text',...
'String','Window size:',...
'Position',[89+30 13.6+.5 16.8333 1.5]);
h=uicontrol(props.edit,...
'Tag','crqa_w',...
'String',num2str(w),...
'ToolTip','Insert the size of the sliding window.',...
'Position',[104+30 13.6+.2+.5 7 1.5000]);
h=uicontrol(props.text,...
'Tag','text',...
'String','Window step:',...
'Position',[89+30 11.6+.5 16.8333 1.5]);
h=uicontrol(props.edit,...
'Tag','crqa_ws',...
'String',num2str(wstep),...
'ToolTip','Insert the step width for sliding the window.',...
'Position',[104+30 11.6+.2+.5 7 1.5000]);
%%%%%%%%%%% buttons
h=uicontrol(props.frame,...
'Tag','frame',...
'Position',[86+30 1.3+.5 29 9]);
h=uicontrol(props.button,...
'String','Store',...
'Tag','crqa_button_store',...
'Enable','Off',...
'ToolTip','Stores the CRQA analysis into a variable in the workspace.',...
'Callback','crqa store',...
'Position',[100.5+30 7.4+.5 10.5 2.2143]);
h=uicontrol(props.button,...
'Tag','crqa_button_print',...
'CallBack','crqa print',...
'ToolTip','Prints the CRQA window.',...
'String','Print',...
'Position',[89+30 7.4+.5 10.5 2.2143]);
h=uicontrol(props.button,...
'Tag','crqa_button_close',...
'CallBack','crqa close',...
'ToolTip','Closes the CRQA window.',...
'String','Close',...
'Position',[89+30 2.1+.5 22 2.2143]);
h=uicontrol(props.button,...
'String','Apply',...
'Tag','crqa_button_apply',...
'ToolTip','Starts the computation.',...
'Callback','crqa compute',...
'Position',[89+30 4.75+.5 22 2.2143]);
set(0,'ShowHidden','on')
set(h8, 'HandleVis','CallBack')
tags={'crqa_Fig';'axes_logo';'text_logo';'crqa_theiler';'frame';'text';'crqa_axes_Data';'crqa_axes_Var';'crqa_axes_CoVar';'crqa_axes_RR';'crqa_axes_DET';'crqa_axes_L';'crqa_axes_ENTR';'crqa_axes_LAM';'crqa_axes_TT';'crqa_axes_RTE';'crqa_axes_T2';'crqa_m';'crqa_maxLag';'crqa_method';'crqa_eps';'crqa_lmin';'crqa_vmin';'crqa_w';'crqa_ws';'crqa_button_store';'crqa_button_print';'crqa_button_close';'crqa_button_apply'};
h=[];
for i=1:length(tags); h=[h; findobj('Tag',tags{i})]; end
set(h,'Units','Norm')
if nargout; xout=h8; end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% close windows
case 'close'
errcode=101;
set(0,props.root)
h=findobj('Tag','crqa_Fig');
if ~isempty(h), close(h(1)), end clear all
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% store
case 'store'
errcode=0;
if ~isempty(findobj('Tag','crqa_button_store'))
h=findobj('Tag','crqa_button_store');
h1=findobj('Tag','crqa_button_close');
if ~isempty(h1), vname_old=get(h1(1),'UserData'); else vname_old=''; end
if isempty(vname_old), vname_old=''; end
vname=char(inputdlg('Choose a variable name.','Store output',1,{vname_old}));
if isempty(vname)
return
else
crqa_values=get(h(1),'UserData');
assignin('base',vname, [crqa_values])
warndlg(['CRQA measures have been assigned to the workspace variable ''',vname,'''.'],'Store output');
waitforbuttonpress
set(h1(1),'UserData',vname)
end
end
set(0,props.root)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% print
case 'print'
errcode=91;
h=findobj('Tag','crqa_axes_Data','Parent',gcf); h_axes.h(1)=h(1);
h=findobj('Tag','crqa_axes_Var','Parent',gcf); h_axes.h(2)=h(1);
h=findobj('Tag','crqa_axes_CoVar','Parent',gcf); if ~isempty(h), h_axes.h(11)=h(1); end
h=findobj('Tag','crqa_axes_RR','Parent',gcf); h_axes.h(3)=h(1);
h=findobj('Tag','crqa_axes_DET','Parent',gcf); h_axes.h(4)=h(1);
h=findobj('Tag','crqa_axes_L','Parent',gcf); h_axes.h(5)=h(1);
h=findobj('Tag','crqa_axes_ENTR','Parent',gcf); h_axes.h(6)=h(1);
h=findobj('Tag','crqa_axes_LAM','Parent',gcf); h_axes.h(7)=h(1);
h=findobj('Tag','crqa_axes_TT','Parent',gcf); h_axes.h(8)=h(1);
h=findobj('Tag','crqa_axes_RTE','Parent',gcf); h_axes.h(9)=h(1);
h=findobj('Tag','crqa_axes_T2','Parent',gcf); h_axes.h(10)=h(1);
h=findobj('Tag','uniLogo');
tags={'text_logo';'frame';'text';'crqa_m';'crqa_maxLag';'crqa_method';'crqa_eps';'crqa_lmin';'crqa_vmin';'crqa_theiler';'crqa_w';'crqa_ws';'crqa_button_store';'crqa_button_print';'crqa_button_close';'crqa_button_apply';};
for i=1:length(tags); h=[h; findobj('Tag',tags{i},'Parent',gcf)]; end
set(h,'Visible','Off')
set(h_axes.h,'Units','Character');
h_axes.old_pos=get(h_axes.h,'Position');
axes_height = .13;
axes_base = 0.065;
axes_hoffset = .06;
for i=2:2:10
set(h_axes.h(i-1), 'Units','normalize','Position',[0.1300 axes_base+(5-i/2)*(axes_height+axes_hoffset) 0.3270 axes_height])
set(h_axes.h(i),'Units','normalize','Position',[0.5780 axes_base+(5-i/2)*(axes_height+axes_hoffset) 0.3270 axes_height])
end
if length(h_axes.h) > 10
set(h_axes.h(11), 'Units','normalize','Position',[0.5780 axes_base+(5-2/2)*(axes_height+axes_hoffset) 0.3270 axes_height])
end
h_dlg=printdlg;
waitfor(h_dlg)
for i=1:10, set(h_axes.h(i),'Units','Character','Position',h_axes.old_pos{i}), set(h_axes.h(i),'Units','Norm'),end
if length(h_axes.h) > 10
set(h_axes.h(11),'Units','Character','Position',h_axes.old_pos{11}), set(h_axes.h(11),'Units','Norm')
end
set(h,'Visible','On')
set(0,props.root)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% compute
case 'compute'
errcode=11;
if length(method)>1 & strcmpi(method(1:2),'di')
disp('Warning: RQA from distance plot not possible!')
return
end
if ~nogui
h_fig=findobj('tag','crqa_Fig');
setptr(gcf,'watch'),
obj=({'text';'crqa_m';'crqa_maxLag';'crqa_method';'crqa_eps';'crqa_lmin';'crqa_vmin';'crqa_theiler';'crqa_w';'crqa_ws';'crqa_button_store';'crqa_button_print';'crqa_button_close'});
for j=1:length(obj);
h=findobj('Tag',obj{j},'Parent',h_fig(1));
if ~isempty(h)
set(h,'Enable','Off')
end
end
h=findobj('tag','crqa_button_apply');
set(h(1),'ToolTip','Stops the computation.','String','Stop','Callback','set(0,''ShowHidden'',''on'');h=findobj(''tag'',''crqa_button_apply'');set(h(1),''String'',''Stopped'');set(0,''ShowHidden'',''off'')')
end
if Nx==w & wstep<2, wstep=1; Nx=w+1; end
if Nx==w, Nx=w+1; end
if nogui~=2, hw=waitbar(0,['0/',num2str(Nx-w)]);set(hw,'Name','Please Wait!');h1=get(hw,'chil');h1=get(h1,'title'); drawnow; end
if strcmpi(method,'Order Pattern') method = 'op'; end
if strcmpi(method,'Order Matrx') method = 'om'; end
if strcmpi(method,'Maximum Norm, fixed RR') method = 'rr'; end
% check if plugin exist and is executable
[plugin_exist, plugin_name, plugin_path] = is_crp_plugin;
if nogui == 1 & plugin_exist & ( method_n < 4 | method_n == 8 ) & length(x) == length(y)
disp('(plugin used)')
end
errcode=20;
% general histograms of line structures for significance test
hist_l = []; hist_v = []; hist_w = [];
% main loop through all windows
Y = zeros(length(xscale),13);
if undocumented
Y = zeros(length(xscale),17);
end
for i=1:wstep:Nx-w+1;
if ~nogui
set(0,'ShowHidden','on')
h=findobj('tag','crqa_button_apply','Parent',h_fig(1));
if strcmpi(get(h(1),'string'),'stopped')
Y(i:Nx-w,1:6)=NaN;
break
end
end
if time_scale_flag
x_var=var(x(i:i+w-1,2:end)); y_var=var(y(i:i+w-1,2:end));
temp=cov(x(i:i+w-1,2:end),y(i:i+w-1,2:end));
else
x_var=var(x(i:i+w-1,1)); y_var=var(y(i:i+w-1,1));
temp=cov(x(i:i+w-1,1),y(i:i+w-1,1));
end xy_var=temp(1,2);
do_norm = {'non';'nor'};
% if plugin exist and method is MAX, MIN or EUC
if plugin_exist & ( method_n < 4 | method_n == 9 ) & length(x) == length(y)
errcode=21;
warning off
while 1
tmp_xdatafile = tempname;
if ~exist(tmp_xdatafile), break, end
end
while 1
tmp_ydatafile = tempname;
if ~exist(tmp_ydatafile), break, end
end
while 1
tmp_rqadatafile = tempname;
if ~exist(tmp_rqadatafile), break, end
end
x_tmp = x(i:i+w-1,:);
y_tmp = y(i:i+w-1,:);
% save data in temporary file
save(tmp_xdatafile,'x_tmp','-ascii','-tabs');
save(tmp_ydatafile,'y_tmp','-ascii','-tabs');
% call extern rp programme
m_str = {'MAX', 'EUC', 'MIN', 'NR', 'RR', 'FAN', 'IN', 'OM', 'OP', 'EUC'};
[status ] = system([plugin_path,filesep,plugin_name,' -m ',num2str(m), ...
' -t ',num2str(t), ...
' -e ',num2str(e), ...
' -n ',m_str{method_n}, ...
' -w ',num2str(theiler_window), ...
' -l ',num2str(lmin), ...
' -v ',num2str(vmin), ...
' -i ',tmp_xdatafile, ...
' -j ',tmp_ydatafile, ...
' -o ',tmp_rqadatafile, ...
' -s']);
errcode=22;
% import RQA
rqa_in = [];
try
fid = fopen(tmp_rqadatafile,'r'); % open RQA data file
while 1
dataStr = fgetl(fid); % read RQA data
if ~ischar(dataStr), break, end % leave the loop if end of file
if isempty(findstr(dataStr, '#')) % neglect comments line (e.g. header)
rqa_in = str2num(dataStr); % import RQA measures into local variable rqa
end
end
fclose(fid); % close RQA data file
RR = rqa_in(1);
DET = rqa_in(2);
LAM = rqa_in(4);
Lmax = rqa_in(6);
L = rqa_in(7);
ENTR = rqa_in(8);
Vmax = rqa_in(10);
TT = rqa_in(11);
t1 = rqa_in(13);
t2 = rqa_in(14);
RT = rqa_in(16); RTmax = rqa_in(15);
RF = rqa_in(19);
ENTW = rqa_in(17);
warning off
delete(tmp_rqadatafile);
delete(tmp_xdatafile);
delete(tmp_ydatafile);
warning on
catch
warning off
delete(tmp_rqadatafile);
delete(tmp_xdatafile);
delete(tmp_ydatafile);
warning on
end
if nogui~=2 & ishandle(h1), set(h1,'str',[num2str(i),'/',num2str(Nx-w)]); waitbar(i/(Nx-w)); drawnow, end
% use builtin implementation
else
errcode=25;
try
if ~flag_pdist
if time_scale_flag
if length(x(i:i+w-1,:)) > 2000
X=crp_big(x(i:i+w-1,:),y(i:i+w-1,:),m,t,e,method,'nonorm','silent');
else
X=crp(x(i:i+w-1,:),y(i:i+w-1,:),m,t,e,method,'nonorm','silent');
end
else
X=crp2(x(i:i+w-1,:),y(i:i+w-1,:),m,t,e,method,'nonorm','silent');
end
% X=crp(x(i:i+w-1,:),y(i:i+w-1,:),m,t,e,varargin{i_char},'silent');
else
%%%%%%%%%%%%
% alternative using pdist
xcor = @(x,y) sqrt(sum((repmat(x,size(y,1),1)-y).^2,2));
x_dist = pdist(x(i:i+w-1,:),xcor);
X = squareform(x_dist);
end
%%%%%%%%%%%%
warning off
if nogui~=2 & ishandle(h1), set(h1,'str',[num2str(i),'/',num2str(Nx-w)]); waitbar(i/(Nx-w)); drawnow, end
%if 0
catch
error(lasterr)
if nogui~=2 & ishandle(hw), close(hw), end
end
N=size(X);
if theiler_window > 0
X_theiler=double(triu(X,theiler_window))+double(tril(X,-theiler_window));
else
X_theiler=X;
end
errcode=26;
% compute recurrence times of 1st and 2nd type
if size(X_theiler,2) > 1000
t1=[];t2=[];
rps2=find(diff(double(X_theiler(:)))==1);
rps=find(X_theiler(:)); t1=diff(rps);
t2=diff(rps2);
else
t1 = []; t2 = [];
for i2=1:size(X_theiler,2)
if nogui~=2 & (Nx-w < 2) & ~rem(i2,25), waitbar(i2/size(X_theiler,2)), end
rps2=find(diff(double(X_theiler(:,i2)))==1);
rps=find(X_theiler(:,i2));
t1=[t1;diff(rps)];
t2=[t2;diff(rps2)];
end
end
t1=mean(t1);
t2=mean(t2);
errcode=27;
[a b]=dl(X_theiler);
hist_l = [hist_l; b];
N_hist_l(i) = length(b);
warning off
errcode=271;
b(b<lmin)=[];
[c d dw]=tt(X_theiler);
hist_v = [hist_v; d];
hist_w = [hist_w; dw];
N_hist_v(i) = length(d);
N_hist_w(i) = length(dw);
warning off
errcode=272;
d(find(d<vmin))=[];
errcode=273;
N_all = (N(1)*N(2));
% reduce the number of possible states by the Theiler window;
% because the Theiler window is applied symmetrically (on the LOI)
% we only use N(1) and not N(2)
if theiler_window >= 1
N_all = N_all - N(1) - 2*((theiler_window-1)*N(1) - sum(1:(theiler_window-1)));
end
RR=sum(X_theiler(:))/N_all;
%b(find(b>=max(N)-lmin))=[]; if isempty(b), b=0; end
if isempty(b), b=0; end
errcode=274;
if sum(X_theiler(:)) > 0
DET=sum(b)/sum(X_theiler(:));
else
DET=NaN;
end
errcode=275;
L=mean(b);
histL=hist(b(:),[1:min(N)]);
ENTR=entropy(histL(:));
errcode=276;
if sum(X_theiler(:))>0
LAM=sum(d)/sum(sum(X_theiler));
else
LAM=NaN;
end
% recurrence times
RT = mean(dw);
[dwh dwi] = hist(dw,[1:max(dw)]);
if dwh
[dws dwsi] = sort(dwh);
RTp = dwi(dwsi(end)); % most probable recurrence time
else RTp = 0;
end
RTmax = max(dw); % maximal recurrence time
RF = 1/RTmax; % minimal recurrence frequency
ENTW = entropy(dwh(:));
errcode=277;
TT=mean(d);
b=[b;0]; Lmax=max(b);
d=[d;0]; Vmax=max(d);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% new measures
% RPDE
errcode=278;
bins = [.5:max(dw)+.5];
dwh = histc(dw,bins); dwh = dwh(:);
%dwh
if max(dw) > 0 && numel(bins) > 3
RTE = entropy(dwh) / log(max(dw));
else
RTE = NaN;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% network measures
% global clustering coefficient
errcode=279;
kv = sum(X_theiler,1); % degree of nodes
Clust = mean(diag(double(X_theiler)*double(X_theiler)*double(X_theiler))' ./ (kv .* (kv-1)));
% transitivity
denom = sum(sum(double(X_theiler) * double(X_theiler)));
Trans = trace(double(X_theiler)*double(X_theiler)*double(X_theiler))/denom;
end % end plugin
warning on
errcode=28;
Y(i,1)=RR;
Y(i,2)=DET;
Y(i,3)=L;
Y(i,4)=Lmax;
Y(i,5)=ENTR;
Y(i,6)=LAM;
Y(i,7)=TT;
Y(i,8)=Vmax;
Y(i,9)=t1;
Y(i,10)=t2;
Y(i,11)=RTE;
Y(i,12)=Clust;
Y(i,13)=Trans;
if undocumented
Y(i,14)=RT;
Y(i,15)=RTmax;
Y(i,16)=RF;
Y(i,17)=ENTW;
else
Y(i,15)=x_var;
Y(i,16)=y_var;
Y(i,17)=xy_var;
end
end % end window loop
% significance by bootstrap
% nboot = 100;
% nD = round(mean(N_hist_l(N_hist_l>0)));
% nV = round(mean(N_hist_v(N_hist_v>0)));% nW = round(mean(N_hist_w(N_hist_w>0)));
% for i = 1:nboot
% onesample = ceil(length(hist_l)*rand(length(hist_l),1));
% onesample = onesample(ceil(nD*rand(nD,1)));
% tmp = sum(hist_l(onesample,:) >= lmin )/ sum(hist_l(onesample,:));
% bootstatDET(i,:) = (tmp(:))';
% tmp = mean(hist_l(onesample,:) >= lmin);
% bootstatL(i,:) = (tmp(:))';
%
% onesample = ceil(length(hist_v)*rand(length(hist_v),1));
% onesample = onesample(ceil(nV*rand(nV,1)));
% tmp = sum(hist_v(onesample,:) >= vmin )/ sum(hist_v(onesample,:));
% bootstatLAM(i,:) = (tmp(:))';
% tmp = mean(hist_v(onesample,:) >= vmin);
% bootstatTT(i,:) = (tmp(:))';
%
% onesample = ceil(length(hist_w)*rand(length(hist_w),1));
% onesample = onesample(ceil(nW*rand(nW,1)));
% tmp = mean(hist_w(onesample,:));
% bootstatT2(i,:) = (tmp(:))';
% end
if ishandle(hw), waitbar(1); drawnow; close(hw), end % close waitbar
if ~nogui
h=findobj('tag','crqa_button_apply');
set(h(1),'ToolTip','Starts the computation.','String','Apply','Callback','crqa compute')
for j=1:length(obj);
h=findobj('Tag',obj{j},'Parent',h_fig(1));
if ~isempty(h)
set(h,'Enable','On')
end
end
end
if ~nogui,
h=findobj('Tag','crqa_Fig');
if ~isempty(h), set(0,'CurrentFigure',h(1)); end
setptr(gcf,'arrow'),
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% plot
if ~nogui
set(0,'showhidden','on')
errcode=30;
h=findobj('Tag','crqa_Fig'); if ~isempty(h), set(0,'CurrentFigure',h(1)); end
tx={'RR';'DET';'L';'ENTR';'LAM';'TT';'RTE';'T_2';'Variance';'Covariance'};
index=[1,2,3,5,6,7,11,10,15,16,17];
tags={'crqa_axes_RR','crqa_axes_DET','crqa_axes_L','crqa_axes_ENTR','crqa_axes_LAM','crqa_axes_TT','crqa_axes_RTE','crqa_axes_T2','crqa_axes_Var','crqa_axes_CoVar'};
h=findobj('Tag','crqa_axes_RR','Parent',gcf); h_axes.h(1)=h(1);
h=findobj('Tag','crqa_axes_DET','Parent',gcf); h_axes.h(2)=h(1);
h=findobj('Tag','crqa_axes_L','Parent',gcf); h_axes.h(3)=h(1);
h=findobj('Tag','crqa_axes_ENTR','Parent',gcf); h_axes.h(4)=h(1);
h=findobj('Tag','crqa_axes_LAM','Parent',gcf); h_axes.h(5)=h(1);
h=findobj('Tag','crqa_axes_TT','Parent',gcf); h_axes.h(6)=h(1);
h=findobj('Tag','crqa_axes_RTE','Parent',gcf); h_axes.h(7)=h(1);
h=findobj('Tag','crqa_axes_T2','Parent',gcf); h_axes.h(8)=h(1);
h=findobj('Tag','crqa_axes_Var','Parent',gcf); h_axes.h(9)=h(1);
if ~all(x(:)==y(:)), h=findobj('Tag','crqa_axes_CoVar','Parent',gcf); h_axes.h(10)=h(1); end
for i=1:9,
set(gcf,'CurrentAxes',h_axes.h(i))
if size(Y,1)==1
cla
text(0.5,0.5,sprintf('%6.4f',Y(index(i))),'FontWeight','bold','HorizontalAlign','Center')
% if ~all(x(:)==y(:)) & i==9
% cla
% text(0.5,0.5,sprintf('%6.5f, %6.5f',Y(index(i)),Y(index(i+1))),'FontWeight','bold','HorizontalAlign','Center')
% set(gcf,'CurrentAxes',h_axes.h(i+1));cla
% set(h_axes.h(i+1),'visible','off');% end
else
if i==9
cla
h2=stairs(xscale(1:wstep:length(Y)),Y(1:wstep:end,index(i)));
set(h2,'color',props.line.Color)
if ~all(x(:)==y(:))
set(gca,'Color','none')
hold on; h2=stairs(xscale(1:wstep:length(Y)),Y(1:wstep:end,index(10)),'r');
set(gcf,'CurrentAxes',h_axes.h(i+1));cla
set(h_axes.h(10),'visible','on');
h3=stairs(xscale(1:wstep:length(Y)),Y(1:wstep:end,index(11))); set(h3,'color',[0 .4 0]);
ylabel(tx(i+1));
set(h_axes.h(i+1),'Tag',tags{i+1},'Units','Norm','Color','none','YAxisLocation','right','YColor',[0 .4 0])
end
else
plot(xscale(1:wstep:length(Y)),Y(1:wstep:end,index(i)),'color',props.line.Color)
end
end
set(gcf,'CurrentAxes',h_axes.h(i));
ylabel(tx(i));
set(gca,'Tag',tags{i},'color',props.axes.Color,'Units','Norm')
end
h=findobj('Tag','crqa_button_store');
set(h(1),'UserData',Y,'Enable','On')
xlim = get(h_axes.h(9),'xlim');
if length(Y(:,1)) > 1, set(h_crqa_axes_Data,'xlim',xlim), end
if ~all(x(:)==y(:)) & length(Y(:,1)) == 1, set(h_axes.h(10),'visible','off'); delete(get(h_axes.h(10),'children')), end
else
if nargout, xout=Y(:,argout_index); end
end
if nargout, xout=Y(:,argout_index); end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% the end
end
%if 0
catch
if nogui~=2, if ishandle(hw), close(hw), end , end
if nargout, xout = NaN; end
z=whos;x=lasterr;y=lastwarn;in=varargin{1};
print_error('crqa',z,x,y,in,method,action)
try, if ~nogui
h=findobj('tag','crqa_button_apply');
set(h(1),'ToolTip','Starts the computation.','String','Apply','Callback','crqa compute')
for j=1:length(obj);
h=findobj('Tag',obj{j},'Parent',h_fig(1));
if ~isempty(h)
set(h,'Enable','On')
end
end, end
end
set(0,'showhidden','on')
h=findobj('Tag','crqa_Fig'); if ~isempty(h), setptr(h(1),'arrow'); end
set(0,'showhidden','off')
end
try, set(0,props.root), end
try
set(0,'ShowHidden','off')
end