mfbox_pre_selecttimesteps_run.m

toolbox for spm 5 for data, model free analysis

function [X,mask,grid,timeline,params,private]=mfbox_pre_selecttimesteps_run(X,mask,grid,timeline,params,runflag,private)
% select timesteps
%
% Usage:
%  [X,mask,grid,timeline,params,private]=mfbox_pre_selecttimesteps_run(X,mask,grid,timeline,params,runflag,private)
%
%  X        - (NxT) data
%             or struct for mfbox_databackend('getdata',X,i),[],1);
%  mask     - data mask (XxYxZ) with sum(mask(:))==N
%  grid     - 3d positions (3xN) of the data values
%  timeline - timeline (1xT)
%  params   - struct with
%             priority  - evaluation priority
%             selection - timestep selection
%  runflag  - -1 get default parameter
%              0 interactive ask parameters
%              1 interactive ask parameters and run
%              2 run
%  private  - private data to enable plot updates while selecting (see also mfbox_databackend)
%
% Copyright by Peter Gruber and Fabian J. Theis
% Signal Processing & Information Theory group
% Institute of Biophysics, University of Regensburg, Germany
% Homepage: http://research.fabian.theis.name
%           http://www-aglang.uni-regensburg.de
%
% This file is free software, subject to the 
% GNU GENERAL PUBLIC LICENSE, see gpl.txt

error(nargchk(1,7,nargin));
error(nargchk(1,6,nargout));

if (isstruct(X)), s = [X.dim,X.timesteps];
else, s = size(X);
end
dim = s(1:(end-1));
if (length(dim)<2), dim = [1,dim]; end
n = s(end);

if (nargin<2), mask = true(dim); end
dim = size(mask);
if (length(dim)==length(s)), n = 1; end

if (nargin<3), grid = mfbox_mkgrid(dim)'; end
if (nargin<4), timeline = 0:(n-1); end
if (nargin<5), params = []; end
if (nargin<6), runflag = 1; end
if (nargin<7), private = []; end

params = mfbox_checkparam(params,'pre','selecttimesteps', ...
    struct('selection',[],'priority',90));

if (abs(runflag-0.5)<1)
    if (exist('OCTAVE_HOME')~=5)% matlab
        [params,private] = mfbox_pre_selecttimestepsg(X,mask,grid,timeline,params,runflag,private);
    elseif (exist('OCTAVE_HOME')==5) %octave
        [params,runflag] = mfbox_getparam(params,runflag,'mfbox_pre_selecttimestepsg.py');
    end
end

if (runflag>0 && isstruct(params))
    if (~isempty(params.selection))
        if (isstruct(X))
            nX = X;
            X = zeros(sum(mask(:)),length(params.selection), ...
                'single');
            for j=1:length(params.selection)
                i = params.selection(j);
                v = single(reshape(mfbox_databackend('getdata',nX,i),[],1));
                X(:,j) = v(mask);
            end
        else
            X = X(mask,params.selection);
        end
        timeline = params.selection;
    end
end