/
GUIWindow.m
608 lines (489 loc) · 23.5 KB
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GUIWindow.m
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classdef GUIWindow<handle
properties
dataTab;
modelTab;
predictTab;
cvTab;
tgroup;
fig;
selected_tab = GUIWindow.DataTabSelected;
selected_panel = GUIWindow.DataGraph;
selected_text_panel = GUIWindow.ModelTableAllocation;
selected_panel_pca = GUIWindow.DataPCAScores;
selected_dataset;
end
properties (Constant)
DataTabSelected = -1;
ModelTabSelected = -2;
PredictTabSelected = -3;
CVTabSelected = -4;
DataGraph = 1;
DataTable = 2;
DataPCA = 13;
DataPCAScores = 3;
DataPCALoadings = 4;
ModelGraph = 5;
ModelTable = 14;
ModelTableAllocation = 6;
ModelTableConfusion = 7;
ModelTableFoM = 8;
PredictGraph = 9;
PredictTable = 15;
PredictTableAllocation = 10;
PredictTableConfusion = 11;
PredictTableFoM = 12;
CVData = 16;
CVResults = 17;
end
methods
function my_closereq(self,src,callbackdata)
% Close request function
% to display a question dialog box
if ~isempty(self.modelTab) && ~isempty(self.modelTab.Model) && ~self.modelTab.model_was_saved
selection = questdlg(sprintf('The current model will be lost!\nDo want to exit without saving it?'),...
'Confirm Close',...
'Yes','No','No');
switch selection
case 'Yes'
delete(gcf)
case 'No'
return
end
else
delete(gcf)
end
end
function deleteDataset(obj, src)
obj.dataTab.FillDataSetList();
if (~isempty(obj.modelTab))
tmp = obj.modelTab.ddlCalibrationSet.String;
selected_name = tmp{obj.modelTab.ddlCalibrationSet.Value};
if(strcmp(src.Name, selected_name))
obj.dataTab.RefreshModel();
else
if(~isempty(obj.cvTab))
obj.cvTab.FillDataSetList(true);
end
end
end
if(~isempty(obj.cvTab) && isempty(obj.modelTab))
ind = arrayfun(@(x)isequal(x.Title ,'Cross-validation'),obj.tgroup.Children);
cvtab = obj.tgroup.Children(ind);
delete(cvtab);
delete(obj.cvTab);
obj.cvTab = [];
end
end
function handleDatasetDelete(obj,src,~)
%disp([src.Name ' deleted']);
obj.deleteDataset(src);
end
function TabSelected(self, obj, param)
var = [];
PlotType = [];
switch obj.SelectedTab.Title
case 'Data'
var = self.dataTab.chkPlotShowObjectNames.Value;
PlotType = get(self.dataTab.ddlPlotType, 'Value');
self.selected_tab = GUIWindow.DataTabSelected;
if self.selected_panel == GUIWindow.DataPCA || strcmp(self.dataTab.pnlPCASettings.Visible, 'on')
var = self.dataTab.chkPlotShowObjectNamesPCA.Value;
self.dataTab.chkTraining.Enable = 'off';
self.dataTab.chkValidation.Enable = 'off';
else
self.dataTab.chkTraining.Enable = 'on';
self.dataTab.chkValidation.Enable = 'on';
end
case 'Model'
var = self.modelTab.chkPlotShowObjectNames.Value;
self.selected_tab = GUIWindow.ModelTabSelected;
idx = find(strcmp(self.modelTab.ddlCalibrationSet.String, self.selected_dataset));
if(~isempty(idx) && self.modelTab.ddlCalibrationSet.Value ~= idx)
self.modelTab.ddlCalibrationSet.Value = idx;
self.modelTab.innerSelectCalibratinSet(self.selected_dataset);
end
case 'Prediction'
var = self.predictTab.chkPlotShowObjectNames.Value;
self.selected_tab = GUIWindow.PredictTabSelected;
case 'Cross-validation'
%var = self.predictTab.chkPlotShowObjectNames.Value;
self.selected_tab = GUIWindow.CVTabSelected;
end
if(~isempty(var))
if(var == 1)
pan off
datacursormode on
dcm_obj = datacursormode(self.fig);
if isprop(dcm_obj, 'Interpreter')
dcm_obj.Interpreter = 'none';
end
set(dcm_obj, 'UpdateFcn', @GUIWindow.DataCursorFunc);
else
datacursormode off
if isempty(PlotType) || PlotType == 1 && self.selected_panel == GUIWindow.DataGraph
pan on
else
pan off
end
if get(self.dataTab.ddlPlotTypePCA,'value')==2 && self.selected_panel_pca == GUIWindow.DataPCALoadings
pan on
else
pan off
end
end
end
end
function ActiveTabSelected(self, obj, param)
var = [];
PlotType = [];
switch self.selected_tab
case GUIWindow.DataTabSelected
switch obj.SelectedTab.Title
case 'Graphical view'
self.selected_panel = GUIWindow.DataGraph;
var = self.dataTab.chkPlotShowObjectNames.Value;
PlotType = get(self.dataTab.ddlPlotType, 'Value');
case 'Table view'
self.selected_panel = GUIWindow.DataTable;
case 'PCA'
self.selected_panel = GUIWindow.DataPCA;
var = self.dataTab.chkPlotShowObjectNamesPCA.Value;
case 'Scores'
self.selected_panel_pca = GUIWindow.DataPCAScores;
case 'Loadings'
self.selected_panel_pca = GUIWindow.DataPCALoadings;
var = get(self.dataTab.chkPlotShowObjectNamesPCA,'value');
end
case GUIWindow.ModelTabSelected
switch obj.SelectedTab.Title
case 'Classification plot'
self.selected_panel = GUIWindow.ModelGraph;
% case 'Classification table'
% self.selected_panel = GUIWindow.ModelTable;
case 'Allocation table'
self.selected_panel = GUIWindow.ModelTable;
self.selected_text_panel = GUIWindow.ModelTableAllocation;
case 'Confusion matrix'
self.selected_panel = GUIWindow.ModelTable;
self.selected_text_panel = GUIWindow.ModelTableConfusion;
case 'Figures of merit'
self.selected_panel = GUIWindow.ModelTable;
self.selected_text_panel = GUIWindow.ModelTableFoM;
end
case GUIWindow.PredictTabSelected
switch obj.SelectedTab.Title
case 'Graphical view'
self.selected_panel = GUIWindow.PredictGraph;
case 'Table view'
self.selected_panel = GUIWindow.PredictTable;
case 'Allocation table'
self.selected_text_panel = GUIWindow.PredictTableAllocation;
case 'Confusion matrix'
self.selected_text_panel = GUIWindow.PredictTableConfusion;
case 'Figures of merit'
self.selected_text_panel = GUIWindow.PredictTableFoM;
end
case GUIWindow.CVTabSelected
switch obj.SelectedTab.Title
case 'Data'
self.selected_panel = GUIWindow.CVData;
case 'Results'
%self.cvTab.ShowResults();
self.cvTab.Redraw();
self.selected_panel = GUIWindow.CVResults;
end
end
%if self.selected_tab == GUIWindow.DataTabSelected
if self.selected_panel == GUIWindow.DataTable
set(self.dataTab.pnlPlotSettings,'visible','off');
set(self.dataTab.pnlTableSettings,'visible','on');
set(self.dataTab.pnlPCASettings,'visible','off');
self.dataTab.vbox.Heights=[40,30,40,40,0,160,0];
self.dataTab.chkTraining.Enable = 'on';
self.dataTab.chkValidation.Enable = 'on';
end
if self.selected_panel == GUIWindow.DataGraph
set(self.dataTab.pnlPlotSettings,'visible','on');
set(self.dataTab.pnlTableSettings,'visible','off');
set(self.dataTab.pnlPCASettings,'visible','off');
if ispc
self.dataTab.vbox.Heights=[40,30,40,40,170,0,0];
else
self.dataTab.vbox.Heights=[40,30,40,40,160,0,0];
end
self.dataTab.chkTraining.Enable = 'on';
self.dataTab.chkValidation.Enable = 'on';
end
if self.selected_panel == GUIWindow.DataPCA
set(self.dataTab.pnlPlotSettings,'visible','off');
set(self.dataTab.pnlTableSettings,'visible','off');
set(self.dataTab.pnlPCASettings,'visible','on');
index_selected = get(self.dataTab.listbox,'Value');
names = get(self.dataTab.listbox,'String');
selected_name = names{index_selected};
if index_selected > 1
d = evalin('base', selected_name);
if d.HasPCA
param = 'on';
self.dataTab.DrawPCA();
else
param = 'off';
end
else
param = 'off';
end
self.dataTab.chkTraining.Enable = 'off';
self.dataTab.chkValidation.Enable = 'off';
self.dataTab.enablePCAPanel(param);
self.dataTab.vbox.Heights=[40,30,40,40,0,0,150];
end
if self.selected_panel_pca == GUIWindow.DataPCAScores
set(self.dataTab.hbox_pca_plot_type,'visible','off');
set(self.dataTab.hbox_pca_plot_options,'visible','on');
self.dataTab.vbox_pca.Heights=[20,20,0,25];
set(self.dataTab.chkPlotShowClassesPCA,'enable','on');
%self.dataTab.chkTraining.Enable = 'off';
%self.dataTab.chkValidation.Enable = 'off';
obj_index_selected = get(self.dataTab.listbox,'Value');
names = get(self.dataTab.listbox,'String');
selected_name = names{obj_index_selected};
if obj_index_selected > 1
d = evalin('base', selected_name);
if(d.HasPCA)
set(self.dataTab.chkPlotShowObjectNamesPCA,'enable','on');
else
set(self.dataTab.chkPlotShowObjectNamesPCA,'enable','off');
end
if isempty(d.Classes) || ~d.HasPCA
set(self.dataTab.chkPlotShowClassesPCA, 'value', 0);
set(self.dataTab.chkPlotShowClassesPCA, 'enable', 'off');
end
end
end
if self.selected_panel_pca == GUIWindow.DataPCALoadings
set(self.dataTab.hbox_pca_plot_type,'visible','on');
set(self.dataTab.chkPlotShowClassesPCA,'enable','off');
self.dataTab.vbox_pca.Heights=[20,20,25,0];
%self.dataTab.chkTraining.Enable = 'off';
%self.dataTab.chkValidation.Enable = 'off';
if(self.dataTab.ddlPlotTypePCA.Value == 2)%line
set(self.dataTab.chkPlotShowObjectNamesPCA,'enable','off');
self.dataTab.ddlPCApc1.Enable = 'off';
self.dataTab.ddlPCApc2.Enable = 'off';
end
end
%end
%if self.selected_tab == GUIWindow.ModelTabSelected
if self.selected_panel == GUIWindow.ModelTable
set(self.modelTab.pnlPlotSettings,'visible','off');
set(self.modelTab.pnlTableSettings,'visible','on');
self.modelTab.vbox.Heights=[40,180,0,50];
end
if self.selected_panel == GUIWindow.ModelGraph
set(self.modelTab.pnlPlotSettings,'visible','on');
set(self.modelTab.pnlTableSettings,'visible','off');
if ispc
self.modelTab.vbox.Heights=[40,180,120,0];
else
self.modelTab.vbox.Heights=[40,180,110,0];
end
end
%end
%if self.selected_tab == GUIWindow.PredictTabSelected
if self.selected_panel == GUIWindow.PredictTable
set(self.predictTab.pnlPlotSettings,'visible','off');
set(self.predictTab.pnlTableSettings,'visible','on');
self.predictTab.vbox.Heights=[100,0,50];
end
if self.selected_panel == GUIWindow.PredictGraph
set(self.predictTab.pnlPlotSettings,'visible','on');
set(self.predictTab.pnlTableSettings,'visible','off');
self.predictTab.vbox.Heights=[100,120,0];
end
%end
%if self.selected_tab == GUIWindow.CVTabSelected
if self.selected_panel == GUIWindow.CVResults
set(self.cvTab.pnlResultsSettings,'visible','on');
self.cvTab.pnlDataSettings.Visible = 'off';
self.cvTab.pnlCrossValidationSettings.Visible = 'off';
self.cvTab.pnlModelSettings.Visible = 'off';
if self.cvTab.ddlResultViewMode.Value == 1 % Graphics
self.cvTab.vbox.Heights=[0,0,0,200,100,0];
set(self.cvTab.pnlPlotSettings,'visible','on');
set(self.cvTab.pnlTableSettings,'visible','off');
else
self.cvTab.vbox.Heights=[0,0,0,200,0,60];
set(self.cvTab.pnlPlotSettings,'visible','off');
set(self.cvTab.pnlTableSettings,'visible','on');
end
end
if self.selected_panel == GUIWindow.CVData
set(self.cvTab.pnlResultsSettings,'visible','off');
self.cvTab.pnlDataSettings.Visible = 'on';
self.cvTab.pnlCrossValidationSettings.Visible = 'on';
self.cvTab.pnlModelSettings.Visible = 'on';
if ispc
self.cvTab.vbox.Heights=[40,130,150,0,0,0];
else
self.cvTab.vbox.Heights=[40,120,150,0,0,0];
end
end
%end
if(~isempty(var))
if(var == 1)
pan off
datacursormode on
dcm_obj = datacursormode(self.fig);
if isprop(dcm_obj, 'Interpreter')
dcm_obj.Interpreter = 'none';
end
set(dcm_obj, 'UpdateFcn', @GUIWindow.DataCursorFunc);
else
datacursormode off
if (isempty(PlotType) || PlotType == 1) && self.selected_panel == GUIWindow.DataGraph
pan on
else
pan off
end
if get(self.dataTab.ddlPlotTypePCA,'value')==2 && self.selected_panel_pca == GUIWindow.DataPCALoadings
set(self.dataTab.chkPlotShowObjectNamesPCA,'enable','off');
set(self.dataTab.chkPlotShowObjectNamesPCA,'value', 0);
pan on
else
pan off
end
end
end
end
function Help_Callback(self, obj, param)
web('help/index.html')
end
function win = GUIWindow(tabs, extra_title, model)
if nargin == 1
extra_title = '';
else
extra_title = [' - Model: ' extra_title];
end
if nargin < 3
model = [];
end
%get version year
v = version('-release');
vyear = str2double(v(1:4));
if vyear < 2014
screensize = get( 0, 'Screensize' );
else
screensize = get( groot, 'Screensize' );
end
%gui
f = figure;
set(f,'CloseRequestFcn',@win.my_closereq);
set(f,'Visible','on');
set(f, 'MenuBar', 'none');
set(f, 'ToolBar', 'none');
set(f,'name',['PLS-DA Tool' extra_title],'numbertitle','off');
%set(f, 'Resize', 'off');
%set(f, 'Units', 'pixels');
set(f, 'OuterPosition', [screensize(3)/2 - 400 screensize(4)/2 - 200 800 400]);
LimitFigSize(f, 'min', [800, 400]);
mh = uimenu(f,'Label','Help');
uimenu(mh,'Label','Help on PLSDAGUI','Callback', @win.Help_Callback);
if vyear < 2014
win.tgroup = uitabgroup('v0','Parent', f);
else
win.tgroup = uitabgroup('Parent', f);
end
win.fig = f;
if tabs(1)
win.dataTab = DataTab(win.tgroup, win);
end
if tabs(2)
win.modelTab = ModelTab(win.tgroup, win);
if ~isempty(model)
win.modelTab.Model = model;
end
end
if tabs(3) && isempty(win.predictTab)
win.predictTab = PredictTab(win.tgroup, win);
end
if tabs(4) && isempty(win.cvTab)
win.cvTab = CVTab(win.tgroup, win);
end
set(win.tgroup, 'SelectionChangedFcn', @win.TabSelected);
allvars = evalin('base','whos');
varnames = {allvars.name};
idx = find(cellfun(@(x)isequal(x,'DataSet'),{allvars.class}));
if ~isempty(idx)
names = varnames(idx);
%dataset_list = cell(1, length(names));
for i = 1:length(names)
d = evalin('base', names{i});
%dataset_list{i} = d;
addlistener(d,'Deleting',@win.handleDatasetDelete);
end
end
end
end
methods (Static)
function r = filter_data(x)
d = evalin('base', x.name);
r = isequal(x.class,'DataSet') && d.NumberOfClasses > 1;
end
function output_txt = DataCursorFunc(obj,event_obj)
% ~ Currently not used (empty)
% event_obj Object containing event data structure
% output_txt Data cursor text
if (isa(event_obj.Target, 'matlab.graphics.chart.primitive.Scatter') || ~isequal(event_obj.Target.LineStyle,'-') && ~isequal(event_obj.Target.LineStyle,'--')&& ~isequal(event_obj.Target.LineStyle,'+'))
data = event_obj.Target.Parent.UserData{1};
d = data;
if(size(data,2) == 1)
d = [d zeros(size(d))];
end
Xdata = d(:,1);%get(event_obj.Target,'xdata');
Ydata = d(:,2);%get(event_obj.Target,'ydata');
Xdiff = Xdata - event_obj.Position(1);
Ydiff = Ydata - event_obj.Position(2);
distnce = sqrt(Xdiff.^2+Ydiff.^2);
labels = event_obj.Target.Parent.UserData{2};
classes = event_obj.Target.Parent.UserData{3};
flag = event_obj.Target.Parent.UserData{4};
index = distnce == min(distnce);
str = labels(index);
is_num = false;
if isa(str,'double')
str = {sprintf('%.2f', str)};
is_num = true;
end
if ~isempty(classes)
cls = classes(index);
class_labels = event_obj.Target.Parent.UserData{5};
if isempty(flag)
if isempty(class_labels)
output_txt = sprintf('Object: %s\nClass: %d', str{1}, cls);
else
output_txt = sprintf('Object: %s\nClass: %s', str{1}, class_labels{cls});
end
else
if is_num
output_txt = sprintf('Wavelength: %s', str{1});
else
output_txt = sprintf('Variable: %s', str{1});
end
end
else
if isempty(flag)
output_txt = sprintf('Object: %s', str{1});
else
if is_num
output_txt = sprintf('Wavelength: %s', str{1});
else
output_txt = sprintf('Variable: %s', str{1});
end
end
end
else
output_txt = 'not an object';
end
end
end
end