ITE / code / IPA / data_generation / datasets / plot_subspaces.m

function [h] = plot_subspaces(s,data_type,fig_name)
%Plots signal s of given data type (data_type) and sets the name of the resulting figure (fig_name).
%   s: s(:,t) is the t^th sample.
%   data_type: see 'sample_subspaces.m'
%   h: handle of the figure (NaN means: no plot performed).
%   [h] = plot_subspaces(s,'3D-geom','hidden subspaces');
%Copyright (C) 2012 Zoltan Szabo ("", "szzoli (at) cs (dot) elte (dot) hu")
%This file is part of the ITE (Information Theoretical Estimators) Matlab toolbox.
%ITE 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 3 of the License, or (at your option) any later version.
%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
%You should have received a copy of the GNU General Public License along with ITE. If not, see <>.

if strcmp(class(data_type),'char')
    switch data_type
        case {'ABC','GreekABC','Aw','multi2-geom','IFS','multi2-2-geom','multi2-2-2-geom','multi2-2-2-2-geom'}
            h = plot_subspaces_2D_binary(s); 
        case 'mosaic'
            S = 100;
            h = plot_subspaces_2D_histogram(s,S);
        case {'3D-geom','multi3-geom','multi3-3-geom','multi3-3-3-geom','multi3-3-3-3-geom'}
            h = plot_subspaces_3D_binary(s);
        case 'ikeda'
            h = plot_subspaces_2D_trajectory(s);
        case 'lorenz'
            h = plot_subspaces_3D_trajectory(s);
            disp('There is no drawing procedure associated to this data type.');        
            h = NaN;
    h = NaN;

%set the name of the figure:
    if ~isnan(h)