function xout=crp(varargin)
%CRP   Creates a cross recurrence plot/ recurrence plot.
%    CRP(X [,Y] [,param1,param2,...]) creates a cross 
%    recurrence plot/ recurrence plot. Results can be 
%    stored into the workspace.
%
%    R=CRP(X,M,T,E) uses the dimension M, delay T 
%    and the size of neighbourhood E and creates a recurrence 
%    plot of X.
%    
%    R=CRP(X,Y,'order') creates an order matrix plot
%    with normalization of the data.
%    
%    R=CRP(X,Y,'distance','nonormalize') creates a 
%    distance coded matrix plot without normalization
%    of the data.
%    
%    Allows to change the parameters interactively by 
%    using a GUI.
%
%    The source-data X and test-data Y can be one- or 
%    a two-coloumn vectors (then, in the first column 
%    have to be the time); if the test-data Y is not
%    specified, a simple recurrence plot is created.
%
%    Parameters: dimension M, delay T and the size of
%    neighbourhood E are the first three numbers after
%    the data series; 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).
%
%    Methods of finding the neighbours/ of plot.
%      maxnorm     - Maximum norm.
%      euclidean   - Euclidean norm.
%      minnorm     - Minimum norm.
%      nrmnorm     - Euclidean norm between normalized vectors
%                    (all vectors have the length one).
%      maxnorm     - Maximum norm, fixed recurrence rate.
%      fan         - Fixed amount of nearest neighbours.
%      inter       - Interdependent neighbours.
%      omatrix     - Order matrix.
%      opattern    - Order patterns recurrence plot.
%      distance    - Distance coded matrix (global CRP, Euclidean norm).
%
%    Normalization of the data series.
%      normalize   - Normalization of the data.
%      nonormalize - No normalization of the data.
%
%    Suppressing the GUI.
%      gui         - Creates the GUI and the output plot.
%      nogui       - Suppresses the GUI and the output plot.
%      silent      - Suppresses all output.
%
%    Parameters not needed to be specified.
%
%    Current limitation: for higher speed in
%    output the whole matrix of the recurrence
%    plot is in the work space - this limits
%    the application of long data series.
%
%    Examples: a = sin((1:1000) * 2 * pi/67);
%              crp(a,'nonorm','euclidean')
%
%              X = crp(a,2,50,.2,'nogui');
%              spy(double(X))
%
%              b = sin(.01 * ([1:1000] * 2 * pi/67) .^ 2); 
%              crp(a,b,3,12,'distance')
%
%    See also CRP2, CRP_BIG, JRP, TAUCRP, CRQA.

% 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: 2010/06/29 12:46:47 $
% $Revision: 5.16 $
%
% $Log: crp.m,v $
% Revision 5.16  2010/06/29 12:46:47  marwan
% bug in checking the lengths of x and y
%
% Revision 5.15  2009/03/24 08:31:17  marwan
% copyright address changed
%
% Revision 5.14  2008/07/02 11:59:04  marwan
% new norms: DTW and Levenshtein
% bug fix for logical data vectors
%
% Revision 5.13  2007/07/18 17:18:44  marwan
% integer values in the arguments supported
%
% Revision 5.12  2007/05/15 17:33:13  marwan
% new neighbourhood criterion: fixed RR
%
% Revision 5.11  2007/05/15 16:01:09  marwan
% new neighbourhood criterion: fixed RR
%
% Revision 5.10  2007/03/29 13:17:51  marwan
% uint8 of order patterns and order matrix
%
% Revision 5.9  2006/10/24 14:16:16  marwan
% minor change: sigma in title line of RP shown only for normalised data
%
% Revision 5.8  2006/03/29 13:07:55  marwan
% problems regarding OPRPs and embedding resolved
%
% Revision 5.7  2006/02/14 11:45:49  marwan
% *** empty log message ***
%
% Revision 5.6  2006/02/06 13:46:17  marwan
% plugin for order patterns recurrence plots supported
%
% Revision 5.5  2005/11/23 07:30:30  marwan
% modified interdependent algorithm
% bug in showing RP fixed
%
% Revision 5.4  2005/11/09 08:58:13  marwan
% bug fix in interdependent neighbours method
%
% Revision 5.3  2005/06/15 15:16:00  marwan
% RP matrix transposed for "interdependent neighbourhood"
%
% Revision 5.2  2005/04/15 09:02:32  marwan
% minor bugfix in plugin section
%
% Revision 5.1  2005/04/08 09:52:05  marwan
% plugin added
%
% Revision 4.8.1.6  2005/04/06 13:02:56  marwan
% *** empty log message ***
%
% Revision 4.8.1.5  2005/03/16 12:21:54  marwan
% add hint in help text for joint recurrence plots
%
% Revision 4.8.1.4  2005/03/16 11:19:02  marwan
% help text modified
%
% Revision 4.8.1.3  2004/12/23 07:49:03  marwan
% bug in order patterns RP fixed (empty order patterns)
%
% Revision 4.8.1.2  2004/11/15 12:52:34  marwan
% bug fix in choice of neighbourhood (enabling and disabling parameters)
%
% Revision 4.8.1.1  2004/11/12 08:39:02  marwan
% bug fix in order patterns representation
%
% Revision 4.8  2004/11/11 12:18:12  marwan
% order patterns recurrence plot added
%
% Revision 4.7  2004/11/10 07:04:41  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.



warning off
global errcode props nonorm

errcode=0;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% programme properties

init_properties
hCRP=[];hCtrl=[];nogui=[];obj=[];mflag=[];
set(0,'ShowHidden','On')

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% check and read the input

error(nargchk(1,8,nargin));
if nargout>1, error('Too many output arguments'), end

check_meth={'ma','eu','mi','nr','rr','fa','in','om','op','le','dt','di'}; 	% maxnorm, euclidean, nrmnorm,  fan, distance
check_norm={'non','nor'};				% nonormalize, normalize
check_gui={'gui','nog','sil'};				% gui, nogui, silent

% transform any int to double
intclasses = {'uint8';'uint16';'uint32';'uint64';'int8';'int16';'int32';'int64';'logical'};
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


if isnumeric(varargin{1}) 		% read commandline input
   varargin{9}=[];
   i_double=find(cellfun('isclass',varargin,'double'));
   i_char=find(cellfun('isclass',varargin,'char'));

   % check the text input parameters for method, gui and normalization
   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_meth=temp_meth+strcmpi(varargin{i_char(i)}(1:2),check_meth'); 
         temp_norm=temp_norm+strcmpi(varargin{i_char(i)}(1:3),check_norm'); 
         temp_gui=temp_gui+strcmpi(varargin{i_char(i)}(1:3),check_gui'); 
      end
      method=min(find(temp_meth));
      nonorm=min(find(temp_norm))-1;
      nogui=min(find(temp_gui))-1;
      if isempty(method), method=1; end
      if isempty(nonorm), nonorm=1; end
      if isempty(nogui), nogui=0; end
      if method>length(check_meth), method=length(check_meth); end
      if nonorm>1, nonorm=1; end
      if nogui>2, nogui=2; end
   else
      method=1; nonorm=1; nogui=0;
   end
   if nogui==0 & nargout>0, nogui=1; end

   % get the parameters for creating RP
     if max(size(varargin{1}))<=3
        error('To less values in data X.')
     end
     x=double(varargin{1});
%     if isempty(varargin{2}) | ~isnumeric(varargin{2}), y=x; end
%     if ~isempty(varargin{2}) & isnumeric(varargin{2}), y=double(varargin{2}); end
     if isempty(varargin{2}) | ~isnumeric(varargin{2}), y=x; 
     else, y=double(varargin{2}); 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
     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
     end
     if e<0, e=1; disp('Warning: The threshold size E cannot be negative and is now set to 1.'), end
     if t<1, t=1; disp('Warning: The delay T cannot be smaller than one and is now set to 1.'), end
     t=round(t); m=round(m); mflag=method;
     if m < 1, m = 1; end
     if t < 1, t = 1; end
     if method==8 & m > 1, 
         m=1; 
         disp('Warning: For order matrix a dimension of one is used.')
     end
     if method==9 & m == 1, 
         m=2; 
         disp(['Warning: For order patterns recurrence plots the dimension must',10,...
              'be larger than one. ',...
              'Embedding dimension is set to ',num2str(m),'.'])
     end
     action='init';

  if ~isempty(find(isnan(x)))
     disp('Warning: NaN detected (in first variable) - will be cleared.')
     for k=1:size(x,2),  x(find(isnan(x(:,k))),:)=[]; end
  end
  if ~isempty(find(isnan(y)))
     disp('Warning: NaN detected (in second variable) - will be cleared.')
     for k=1:size(y,2),  y(find(isnan(y(:,k))),:)=[]; end
  end
     
  if size(x,1)<size(x,2), x=x'; end
  if size(y,1)<size(y,2), y=y'; end

    Nx=length(x); Ny=length(y);
    NX=Nx-t*(m-1);NY=Ny-t*(m-1);  
    if (NX<1 | NY<1) & nogui==0;
         errordlg('The embedding vectors cannot be created. Dimension M and/ or delay T are to big. Please use smaller values.','Dimension/ delay to big')
         waitforbuttonpress
    end
  if size(x,2)>=2
     xscale=x(:,1); 
     if ~isempty(find(diff(xscale)<0)), error('First column of the first vector must be monotonically non-decreasing.'),end
     if nonorm==1, x=(x(:,2)-mean(x(:,2)))/std(x(:,2)); else x=x(:,2); end
  else
     if nonorm==1, x=(x-mean(x))/std(x); end
     xscale=(1:length(x))'; 
  end

  if size(y,2)>=2
     yscale=y(:,1); 
     if ~isempty(find(diff(yscale)<0)), error('First column of the second vector must be monotonically non-decreasing.'),end
     if nonorm==1, y=(y(:,2)-mean(y(:,2)))/std(y(:,2)); else y=y(:,2); end
  else
      if nonorm==1, y=(y-mean(y))/std(y); end
      yscale=(1:length(y))';
  end
  ds=eye(m);
  

else 			%  read input from the GUI
  action=varargin{1};
  nogui=0;
  h=get(gcf,'Name');h=h(findstr(h,'(')+1:findstr(h,')')-1);
  hCRP=findobj('Name',['Cross Recurrence Plot (' h ')']);
  hCtrl=findobj('Name',['Control (' h ')']);
  h=str2num(h);
  xshuttle=get(findobj('Parent',hCRP,'Tag','DataPlot2'),'UserData');
  if ~isempty(xshuttle)
    xscale=xshuttle(:,1);
    x=xshuttle(:,2);
    yshuttle=get(findobj('Parent',hCRP,'Tag','DataPlot1'),'UserData');
    yscale=yshuttle(:,1);
    y=yshuttle(:,2);

    if ~isempty(hCtrl)
      if get(findobj('Tag','Unthresh','Parent',hCtrl),'Value')
         mflag=length(check_meth);
      else   
         mflag=get(findobj('Tag','Method','Parent',hCtrl),'Value');
      end
      m=get(findobj('Tag','Dim','Parent',hCtrl),'Value');
      t=str2num(get(findobj('Tag','Delay','Parent',hCtrl),'String'));
      e=str2num(get(findobj('Tag','Size','Parent',hCtrl),'String'));
      if e<0, e=1; 
          errordlg('The threshold size E cannot be negative.','Threshold size to small')
          waitforbuttonpress
      	  set(findobj('Tag','Size','Parent',hCtrl),'String','1')
          action='';
      end
      if t<1, t=1; 
          errordlg('The delay T cannot be smaller than one.','Delay to small')
          waitforbuttonpress
   	  set(findobj('Tag','Delay','Parent',hCtrl),'String','1')
          action='';
      end
      ds = get(findobj('Tag','Dim','Parent',hCtrl),'UserData');
      if mflag==8 | mflag==9 | mflag==length(check_meth)
         set(findobj('Tag','Size','Parent',hCtrl),'enable','off');
         set(findobj('Tag','Sizetext','Parent',hCtrl),'enable','off');
      else
         set(findobj('Tag','Size','Parent',hCtrl),'enable','on');
         set(findobj('Tag','Sizetext','Parent',hCtrl),'enable','on');
      end
      nonorm = get(findobj('Tag','nonorm','Parent',hCtrl),'UserData');
      
      if mflag==8 & m > 1, 
          m=1; ds = 1;
          disp('Warning: For order matrix a dimension of one is used.')
      end
      if mflag==9 & m == 1, 
          m=2;
          errordlg(['For order patterns recurrence plots the',10,'dimension must be larger than one.'],'Dimension too small')
          set(findobj('Tag','Dim','Parent',hCtrl),'Value',m)
      end
      Nx=length(x); Ny=length(y);
      NX=Nx-t*(m-1);NY=Ny-t*(m-1);  
      if (NX<1 | NY<1) & strcmpi(action,'apply');
         errordlg('The embedding vectors cannot be created. Dimension M and/ or delay T are to big. Please use smaller values.','Dimension/ delay to big')
         waitforbuttonpress
         action='';
      end
    end
  end  
  clear xshuttle yshuttle
  cm_old=get(hCRP,'Colormap');
  cm=[{hsv(256)}; {hot(256)}; {gray(256)};...
    {french(256)}; {bone(256)}; {copper(256)}; {pink(256)};...
    {flag(256)}; {lines(256)}; {colorcube(256)};...
    {jet(256)};  {prism(256)}; {cool(256)};...
    {autumn(256)}; {spring(256)}; {winter(256)};...
    {summer(256)}; {flipud(gray(2))}; {flipud(cm_old)}];

  if isempty(findobj('Tag','CRPFig')) & nogui==0
    action='init';
  end

end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% splash the GPL

splash_gpl('crp')

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% nogui

if nogui>0
   hCRP=9999;
   if nogui~=2 
       tx(1)={'maximum norm'}; 
       tx(2)={'Euclidean norm'}; 
       tx(3)={'minimum norm'}; 
       tx(4)={'Euclidean norm of normalized distance'}; 
       tx(5)={'maximum norm fixed RR'};
       tx(6)={'fixed amount of nearest neighbours'};
       tx(7)={'interdependent neighbours'};
       tx(8)={'order matrix'};
       tx(9)={'order pattern'};
       tx(10)={'distance plot'};
       tx(11)={'distance plot'};
       tx(12)={'distance plot'};
       disp(['use method: ', char(tx(method))]);
       if nonorm==1, disp('normalize data'); else disp('do not normalize data'); end
   end
   action='compute';
   if (NX<1 | NY<1)
         disp('Warning: The embedding vectors cannot be created.')
	 disp('Dimension M and/ or delay T are to big. Please use smaller values.')
         action='';
   end
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% switch routines

try 
switch(action)


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% initialization

  case 'init'

  errcode=1;
  xshuttle(:,1)=xscale;
  yshuttle(:,1)=yscale;
  xshuttle(:,2)=x;
  yshuttle(:,2)=y;
  ds=eye(m);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% create GUI

  errcode=2;
  root_ud=get(0,'UserData'); 
  if isstruct(root_ud)
    if isfield(root_ud,'crp')
      if ~isempty(root_ud.crp)
        root_ud.crp=[root_ud.crp max(root_ud.crp)+1];
      else
        root_ud.crp=1;
      end
      h=num2str(root_ud.crp(end));
    else
      root_ud.crp=1;
      h=num2str(1);
    end
  else
    root_ud.old=root_ud;
    root_ud.crp=1;
    h=num2str(1);
  end
  set(0,'UserData',root_ud)
    
  %%%%%%%%%%%%%%%%% CRP Figure

   h_axes=create_CRPfig(h,xshuttle,yshuttle);
   if nargout>0, xout=haxes; end	    

  %%%%%%%%%%%%%%%%% Control Figure

  errcode=3;
  create_Ctrlfig('crp',h,ds,m,t,e,method)
  
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%  vectorswitch

  case 'vectorswitch'
	
  errcode=4;
  vectorswitch
		
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%  fit dimension display

  case 'fitdim'

  errcode=5;
	ds2=eye(m); 
	if m>length(ds)
	  ds2(1:length(ds),1:length(ds))=ds;
	else
	  ds2=ds(1:m,1:m);
	end
	ds=ds2; clear ds2
	set(findobj('Tag','Dim','Parent',gcf),'UserData', ds);
	for i=1:20
	   if i>m, set(findobj('Tag',['DimShift' num2str(i)],'Parent',gcf), 'Enable', 'off');
	     else, set(findobj('Tag',['DimShift' num2str(i)],'Parent',gcf), 'Enable', 'on'); end
	end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% unthresh

  case 'unthresh'

  errcode=6;
  switch_unthresholded(hCRP)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% stretch

  case 'stretch'

  errcode=7;
  stretch(hCRP,xscale,yscale,Nx,Ny)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% change colormap

  case 'log'
 
  errcode=82;
  change_colormapscale(hCRP,cm)
  
  
  case 'colormap'
 
  errcode=81;
  change_colormap(hCtrl,hCRP,cm)
  
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% store

  case 'store'
  
  errcode=9;
  X=get(findobj('Tag','CRPData','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'UserData');
  if isempty(X)
     warndlg('The CRP matrix is still empty. Please start the computation before storing.','Empty CRP')
     waitforbuttonpress
  else
     assignin('base','X', double(X))
  end
          
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%  handlevisON

  case 'handlevisON'
  
  set(hCRP, 'HandleVis','on')
	
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% close

  case 'close'
  errcode=101;
  close_all


  case 'smartclose'
  errcode=102;
  if ishandle(hCRP) & ishandle(hCtrl)
    smart_close(hCRP,hCtrl)
  end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% computation
  
  case 'compute'

  errcode=11;
  txt_cross='Cross ';
  if size(x)==size(y) 
    if x==y, txt_cross=''; end
  end
  if nogui==0
    setptr([hCRP,hCtrl],'watch')
    h=findobj('Tag','Apply','Parent',hCtrl);
    obj.children=get(hCtrl,'Children');
    obj.enable=get(obj.children,'Enable'); 
    set(obj.children,'Enable','off')
    set(h(1),'String','Stop',...
             'ToolTip','Stops the computation.',...
             'Enable','on',...
	     'Callback','set(gcbo,''String'',''Stopped'')')
  end
  set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'Visible','on')
  set(findobj('Tag','CRPData','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'Visible','off')
  
  % embedding vectors

  i=(1:NX)';j=0:t:0+(m-1)*t;
  i=reshape(i(:,ones(1,m))+j(ones(NX,1),:),m*NX,1);
  x1=x(i);
  x2=reshape(x1,NX,m);
  if check_stop(hCRP,hCtrl,nogui,obj), return, end

  i=(1:NY)';j=0:t:0+(m-1)*t;
  i=reshape(i(:,ones(1,m))+j(ones(NY,1),:),m*NY,1);
  y1=y(i);
  y2=reshape(y1,NY,m);
  if check_stop(hCRP,hCtrl,nogui,obj), return, end

  y2=y2*ds; % switch vectors

  % check if plugin exist and is executable
  [plugin_exist, plugin_name, plugin_path] = is_crp_plugin;
  
  if plugin_exist & ( mflag < 4 | mflag == 9 | mflag == 10 ) & length(x) == length(y) & ~ispc % if plugin exist and method is MAX, MIN, EUC ord DIS
      
      if nogui == 1, disp('(plugin used)'), end
      [X matext] = crp_plugin(x2, y2, 1, 1, e, mflag, hCRP, plugin_path, 0);

  else
  % use builtin implementation


      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Building Embedding Vectors'),drawnow


      X=uint8(zeros(NY,NX));
      if check_stop(hCRP,hCtrl,nogui,obj), return, end


      [NX, mx] = size(x2);
      [NY, my] = size(y2);

      clear jx jy x1 y1
      
      if ~nonorm, unit = ''; else unit = '\sigma'; end

      switch(mflag)

      %%%%%%%%%%%%%%%%% local CRP, fixed distance

      case {1,2,3,5}

      errcode=111;
      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Reshape Embedding Vectors'),drawnow

      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 3 1 2 ]);
      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Distance Matrix'),drawnow
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      s1 = px(:,ones(1,NY),:) - py(ones(1,NX),:,:);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      switch mflag
        case 1
      %%%%%%%%%%%%%%%%% maximum norm
          s = max(abs(s1),[],3);
          matext=[num2str(round(100*e)/100) unit ' (fixed distance maximum norm)'];
        case 5
      %%%%%%%%%%%%%%%%% maximum norm, fixed RR
          errcode=115;
          s = max(abs(s1),[],3);
          ss = sort(s(:));
          idx = ceil(e * length(ss));
          e = ss(idx);
          matext=[num2str(round(100*e)/100) '\sigma (fixed distance maximum norm, fixed RR)'];
        case 2
      %%%%%%%%%%%%%%%%% euclidean norm
          errcode=112;
          s = sqrt(sum(s1.^2, 3));
          matext=[num2str(round(100*e)/100) unit ' (fixed distance euclidean norm)'];
        case 3
      %%%%%%%%%%%%%%%%% minimum norm
          errcode=113;
          s = sum(abs(s1), 3);
          matext=[num2str(round(100*e)/100) unit ' (fixed distance minimum norm)'];
      end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')'),'String','Building CRP Matrix'),drawnow
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      X2=s<e;
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      X=uint8(X2)'; clear s s1 x1 y1 px py X1 X2


      %%%%%%%%%%%%%%%%% local CRP, normalized distance euclidean norm

      case 4

      errcode=114;
      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Normalize Embedding Vectors'),drawnow
      Dx=sqrt(sum(((x2(:,:)).^2)'))';
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      Dy=sqrt(sum(((y2(:,:)).^2)'))';
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      x1=x2./repmat(Dx,1,m);x2=x1;
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      y1=y2./repmat(Dy,1,m);y2=y1; clear Dx Dy y1 x1
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Reshape Embedding Vectors'),drawnow

      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 3 1 2 ]);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Distance Matrix'),drawnow
      s1 = px(:,ones(1,NY),:) - py(ones(1,NX),:,:);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      s = sqrt(sum(s1.^2, 3));
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')'),'String','Building CRP Matrix'),drawnow
      X=(uint8(255*s/max(s(:)))<(255*e/max(s(:))))'; clear s s1 x1 y1 px py
      matext=[num2str(round(100*e)/100) unit ' (normalized distance euclidean norm)'];


      %%%%%%%%%%%%%%%%% local CRP, fixed neigbours amount

      case 6 

      errcode=116;
      if e>=1 
        e=round(e)/100;
        txt=['The value for fixed neigbours amount has to be smaller '...
             'than one. Continue the computation with a value of ' ...
	     num2str(e)];
        if nogui==0
          warndlg(txt,'Threshold value mismatch');
          drawnow
          waitforbuttonpress
          set(findobj('Tag','Size','Parent',gcf),'String',num2str(e))
        end
      end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Reshape Embedding Vectors'),drawnow

      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 3 1 2 ]);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Distance Matrix'),drawnow
      s1 = px(:,ones(1,NY),:) - py(ones(1,NX),:,:);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
    %  s = sqrt(sum(s1.^2, 3));
      s = (sum(s1.^2, 3));
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Sort Distance Matrix'),drawnow
      mine=round(NY*e);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      [SS, JJ]=sort(s'); 
      JJ=JJ';
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Building CRP Matrix'),drawnow
      X1(NX*NY)=uint8(0); 
      X1(JJ(:,1:mine)+repmat([0:NY:NX*NY-1]',1,mine))=uint8(1);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      X=reshape(X1,NY,NX); clear X1 SS JJ s px py

      matext=[num2str(round(1000*mine/NY)/10) '% (fixed neighbours amount)'];


      %%%%%%%%%%%%%%%%% local CRP, interdependent neigbours 

      case 7

      errcode=117;
      if e>=1 
        e=round(e)/100;
        txt=['The value for fixed neigbours amount has to be smaller '...
             'than one. Continue the computation with a value of ' ...
	     num2str(e)];
        if nogui==0
          warndlg(txt,'Threshold value mismatch');
          drawnow
          waitforbuttonpress
          set(findobj('Tag','Size','Parent',gcf),'String',num2str(e))
        end
      end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Reshape Embedding Vectors'),drawnow
      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 1 3 2 ]);
      px2 = permute(x2, [ 3 1 2 ]);
      py2 = permute(y2, [ 3 1 2 ]);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Distance Matrix'),drawnow
      s1 = px(:,ones(1,NX),:) - px2(ones(1,NX),:,:);
      sx = sqrt(sum(s1.^2, 3));
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      s1 = py(:,ones(1,NY),:) - py2(ones(1,NY),:,:);
      sy = sqrt(sum(s1.^2, 3));
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Sort Distance Matrix'),drawnow
      mine=round(min(NX,NY)*e);
      [SSx, JJx]=sort(sx);%SSx(1,:)=[]; JJx(1,:)=[];
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      [SSy, JJy]=sort(sy);%SSy(1,:)=[]; JJy(1,:)=[];
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      ey=mean(SSy(mine:mine+1,:));
      ex=mean(SSx(mine:mine+1,:));
      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Building CRP Matrix'),drawnow
      for i=1:min(NX,NY),
        if check_stop(hCRP,hCtrl,nogui,obj), return, end
        JJx((JJx(1:mine,i)>min(NX,NY)),i)=i;
        JJy((JJy(1:mine,i)>min(NX,NY)),i)=i;
        X(i,JJx(1:mine,i)) = (sy(i,JJx(1:mine,i))<=ey(i))';
        if check_stop(hCRP,hCtrl,nogui,obj), return, end
%        X(i,JJy(1:mine,i)) = (sx(i,JJy(1:mine,i))<=ex(i))';
      end

      clear X1 SS* JJ* s sx sy s1 px py ex ey
      X = X';
      matext=[num2str(round(1000*mine/NY)/10) '% (interdependent neighbours)'];


      %%%%%%%%%%%%%%%%% order matrix

      case 8

      errcode=118;

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Order Matrix'),drawnow
      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 3 1 2 ]);
      X = uint8(px(:,ones(1,NY),:) >= py(ones(1,NX),:,:) - e);
      X = X';
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      matext='';

      %%%%%%%%%%%%%%%%% order pattern recurrence plot

      case 9

      errcode=119;

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Order Patterns'),drawnow

      % create a order pattern test
      cmdStr = '';
      for i=2:m;
          cmdStr = [cmdStr, ' permX(:,', num2str(i-1) ,') < permX(:,', num2str(i), ') + eps'];
          if i < m, cmdStr = [cmdStr, ' &']; end
      end
      if m==1
          cmdStr = '1'; 
          disp('Warning: No order patterns for dimension one; please use higher dimension!')
      end


      % order patterns by permutation of the set of values
      clear patt*
      for i=1:length(x2)
          permX=perms(x2(i,:));
          orderPattern = find(eval(cmdStr));
          if isempty(orderPattern) orderPattern = 0; end
          pattX(i) = orderPattern(1);
      end
      for i=1:length(y2)
          permX=perms(y2(i,:));
          orderPattern = find(eval(cmdStr));
          if isempty(orderPattern) orderPattern = 0; end
          pattY(i) = orderPattern(1);
      end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Create Order Patterns Matrix'),drawnow

      px = permute(pattX', [ 1 3 2 ]);
      py = permute(pattY', [ 3 1 2 ]);
      X = uint8(px(:,ones(1,length(y2)),:) == py(ones(1,length(x2)),:,:));
      X = X';
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      matext='';


      %%%%%%%%%%%%%%%%% Levenshtein

      case 10

      errcode=120;

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Distance Matrix'),drawnow
      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 3 1 2 ]);
      px2 = reshape(px(:,ones(1,NY),:),NX*NY,m);
      py2 = reshape(py(ones(1,NX),:,:),NX*NY,m);
      s1 = levenshtein(px2, py2);
      X = reshape(s1,NX,NY)';
      matext='';


      %%%%%%%%%%%%%%%%% DTW

      case 11

      errcode=121;

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Distance Matrix'),drawnow
      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 3 1 2 ]);
      px2 = reshape(px(:,ones(1,NY),:),NX*NY,m);
      py2 = reshape(py(ones(1,NX),:,:),NX*NY,m);
      s1 = dtw(px2, py2);
      X = reshape(s1,NX,NY)';
      matext='';



      %%%%%%%%%%%%%%%%% global CRP

      case length(check_meth)

      errcode=110+length(check_meth);

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Compute Distance Matrix'),drawnow
      px = permute(x2, [ 1 3 2 ]);
      py = permute(y2, [ 3 1 2 ]);
      s1 = px(:,ones(1,NY),:) - py(ones(1,NX),:,:);
      if check_stop(hCRP,hCtrl,nogui,obj), return, end
      s = sqrt(sum(s1.^2, 3))';
      if check_stop(hCRP,hCtrl,nogui,obj), return, end

      set(findobj('Tag','Status','Parent',findobj('Parent',hCRP,'Tag','CRPPlot')),'String','Building CRP Matrix'),drawnow
    %  s=exp(-(s^2)/(4*.1^2));
      X=double(s);  
      matext='';


      end % end switch mflag

  end % end plugin

  if nogui==0
    for i=1:length(obj.enable), set(obj.children(i),'Enable',obj.enable{i}); end
    set(h(1),'String','Apply',...
             'ToolTip','Starts the computation - be patient.',...
             'Callback','crp compute')
    setptr([hCRP,hCtrl],'arrow')
  end

  %%%%%%%%%%%%%%%%% show CRP 

  if nogui==0
     Shuttle.hCRP=hCRP;
     Shuttle.hCtrl=hCtrl;
     Shuttle.matext=matext;
     Shuttle.xscale=xscale;
     Shuttle.yscale=yscale;
     Shuttle.mflag=mflag;
     Shuttle.m=m;
     Shuttle.t=t;
     Shuttle.cm=cm;
     Shuttle.txt_cross=txt_cross;
     if isempty(X)
         warn_str = ['Uuups! Empty matrix.',10,'I give up ...'];
         if strcmpi(computer,'GLNXA64')
             warn_str = [warn_str,10,'(Maybe non-appropriate plugin version due to different glibc.)']
         end
         warning(warn_str); 
         return
     end
     show_crp(X,Shuttle)
  else
    if nargout==1, xout=X;end
  end
  
end
warning on
try, set(0,props.root), end
set(0,'ShowHidden','Off')

%%%%%%% error handling

%if 0
catch
  
  try, if nogui==0
    for i=1:length(obj.enable), set(obj.children(i),'Enable',obj.enable{i}); end
    set(h(1),'String','Apply',...
             'ToolTip','Starts the computation - be patient.',...
             'Callback','crp compute')
    setptr([hCRP,hCtrl],'arrow')
  end, end
  z=whos;x=lasterr;y=lastwarn;in=varargin{1};
  print_error('crp',z,x,y,in,mflag,action)
  try, set(0,props.root), end
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
