ipcascoplot.m

包含间隔偏最小二乘

function ipcascoplot(Model,PCa,PCb,samplenames,classvariable,no_of_plots_pr_figure)

%  ipcascoplot makes 2D score plots of PCa versus PCb for all intervals
%
%  Input:
%  Model (the output from ipca.m)
%  PCa and PCb designates the combination of score vectors to use in the plot
%  samplenames: string, see makeSampleNames for an example (use [] if not available)
%  classvariable: vector of numbers (1 to n) assigning each class (1 to n) 
%                 see makeClasses for an example (use [] if not available)
%                 up to n=7 classes can be coloured
%  no_of_plot_pr_figure must be 2, 4, 6 or 8 (optional, default is 6)
%
%  Copyright, Chemometrics Group - KVL, Copenhagen, Denmark
%  Lars N鴕gaard, July 2004
%
%  ipcascoplot(Model,PCa,PCb,samplenames,classvariable,no_of_plots_pr_figure);

if nargin==0
   disp(' ')
   disp(' ipcascoplot(Model,PCa,PCb,samplenames,classvariable,no_of_plots_pr_figure);')
   disp(' ')
   disp(' Example:')
   disp(' ipcascoplot(Model,1,2,[],classes);')
   disp(' ')
   return
end

[n,m] = size(Model.rawX);

set(0,'Units','pixels');
Scrsiz=get(0,'ScreenSize');
ScrLength=Scrsiz(3);
ScrHight=Scrsiz(4);
bdwidth=10;
% [left(->) bottom(up) width hight]
figpos=[0.1*ScrLength 0.15*ScrHight 0.85*ScrLength 0.75*ScrHight];

Color=['r' 'b' 'g' 'k' 'm' 'c' 'y' 'r' 'b' 'g' 'k' 'm' 'c' 'y'];
%Shape=['o' 's' 'd' 'v' 'p' '*' 'x' '+' '.' '^' '<' '>' 'h'];
%[Color(i) Shape(i)])

% Plot score plot for global model
figure(1)
set(1,'Position',figpos)
plot(Model.PCAmodel{size(Model.allint,1)}.T(:,PCa),Model.PCAmodel{size(Model.allint,1)}.T(:,PCb),'w')
if nargin==3 | (isempty(samplenames) & isempty(classvariable))
	s=int2str([1:n]');
	text(Model.PCAmodel{size(Model.allint,1)}.T(:,PCa),Model.PCAmodel{size(Model.allint,1)}.T(:,PCb),s)
elseif isempty(classvariable)
	text(Model.PCAmodel{size(Model.allint,1)}.T(:,PCa),Model.PCAmodel{size(Model.allint,1)}.T(:,PCb),samplenames)
elseif isempty(samplenames)
	for k=1:max(classvariable)
		ix=find(classvariable==k);
		text(Model.PCAmodel{size(Model.allint,1)}.T(ix,PCa),Model.PCAmodel{size(Model.allint,1)}.T(ix,PCb),int2str(classvariable(ix)),'Color',Color(k))
	end
else
	for k=1:max(classvariable)
		ix=find(classvariable==k);
		text(Model.PCAmodel{size(Model.allint,1)}.T(ix,PCa),Model.PCAmodel{size(Model.allint,1)}.T(ix,PCb),samplenames(ix,:),'Color',Color(k))
	end
end
if isempty(Model.xaxislabels)==1
   title(sprintf('Global model, Variables %g-%g',Model.allint(1,2),Model.allint(size(Model.allint,1),3)));
else
   wavstart=Model.xaxislabels(Model.allint(1,2));
   wavend=Model.xaxislabels(Model.allint(size(Model.allint,1),3));
   title(sprintf('Global model, Var. %g-%g, Wav. %g-%g',Model.allint(1,2),Model.allint(size(Model.allint,1),3),wavstart,wavend));
end
xlabel(sprintf('PC %g',PCa))
ylabel(sprintf('PC %g',PCb))
hold on
V=axis;
if sign(V(1))==sign(V(2)) & sign(V(3))==sign(V(4))
    % No lines through origo
elseif sign(V(1))==sign(V(2))
    plot([V(1) V(2)],[0 0],'-g')
elseif sign(V(3))==sign(V(4))
    plot([0 0],[V(3) V(4)],'-g')
else
    plot([V(1) V(2)],[0 0],'-g',[0 0],[V(3) V(4)],'-g')
end
hold off

% Plot score plots for local models
if nargin<6 | ~ismember(no_of_plots_pr_figure,[1 2 4 6 8])
   no_of_plots_pr_figure=6;
end
No_of_figures=ceil(Model.intervals/no_of_plots_pr_figure);
count=0;
for i=1:No_of_figures
   figure(i+1)
   set(i+1,'Position',figpos)
   for j=1:no_of_plots_pr_figure
      count=count+1;
      if count>Model.intervals, break, end
      if no_of_plots_pr_figure==1
          % One plot in one Figure
      elseif no_of_plots_pr_figure==2
          subplot(1,2,j)
      elseif no_of_plots_pr_figure==4
          subplot(2,2,j)
      elseif no_of_plots_pr_figure==8
          subplot(4,2,j)          
      else   %no_of_plots_pr_figure==6
          subplot(3,2,j)
      end
      plot(Model.PCAmodel{count}.T(:,PCa),Model.PCAmodel{count}.T(:,PCb),'w')
      if nargin==3 | (isempty(samplenames) & isempty(classvariable))
			s=int2str([1:n]');
         text(Model.PCAmodel{count}.T(:,PCa),Model.PCAmodel{count}.T(:,PCb),s)
      elseif isempty(classvariable)
         text(Model.PCAmodel{count}.T(:,PCa),Model.PCAmodel{count}.T(:,PCb),samplenames)
      elseif isempty(samplenames)
         for k=1:max(classvariable)
            ix=find(classvariable==k);
            text(Model.PCAmodel{count}.T(ix,PCa),Model.PCAmodel{count}.T(ix,PCb),int2str(classvariable(ix)),'Color',Color(k))
         end
      else
         for k=1:max(classvariable)
            ix=find(classvariable==k);
            text(Model.PCAmodel{count}.T(ix,PCa),Model.PCAmodel{count}.T(ix,PCb),samplenames(ix,:),'Color',Color(k))
         end
      end
      if isempty(Model.xaxislabels)==1
        title(sprintf('Int%g, Variables %g-%g',count,Model.allint(count,2),Model.allint(count,3)));
      else
        wavstart=Model.xaxislabels(Model.allint(:,2));
        wavend=Model.xaxislabels(Model.allint(:,3));
        title(sprintf('Int%g, Var. %g-%g, Wav. %g-%g',count,Model.allint(count,2),Model.allint(count,3),wavstart(count),wavend(count)));
      end
      xlabel(sprintf('PC %g',PCa))
 	  ylabel(sprintf('PC %g',PCb))
	  hold on
	  V=axis;
      if sign(V(1))==sign(V(2)) & sign(V(3))==sign(V(4))
          % No lines through origo
	  elseif sign(V(1))==sign(V(2))
            plot([V(1) V(2)],[0 0],'-g')
	  elseif sign(V(3))==sign(V(4))
            plot([0 0],[V(3) V(4)],'-g')
	  else
            plot([V(1) V(2)],[0 0],'-g',[0 0],[V(3) V(4)],'-g')
	  end
	  hold off
   end
end