disp('Running MATLAB script file TempDatSizer.m') ;
%
%    For analyzing Temporay data with SiZer
%


load TempData.txt ;

data = TempData ;

%  Jan used this to produce SiZer maps for
%  pure noise. 
%  Out of 20 I got 10 "clean" sizer maps. Out of 
%  the 10 "not clean" maps 3 had large areas of significant
%  slope.
%
%  The seed used before first run is below.
%  randn('seed',184042865)
%
%  data  = randn(10000,1);


%  Set up graphics
%
figure(1) ;
clf ;
%set(gcf,'Position',[240 100 360 450]) ;



  outstr = 'TempDatSiZer' ;
  paramstruct = struct('iout',1,...
                       'imovie',0,...
                       'nfh',41, ...
                       'nsh',41, ...
                       'savestr',outstr, ...
                       'iscreenwrite',1 ...
                                              ) ;

  sizer2([(1:length(data))' data],paramstruct) ;




