-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathAnalytics.m
2323 lines (2227 loc) · 87.3 KB
/
Analytics.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
function varargout = Analytics(varargin)
% ANALYTICS MATLAB code for Analytics.fig
% ANALYTICS, by itself, creates a new ANALYTICS or raises the existing
% singleton*.
%
% H = ANALYTICS returns the handle to a new ANALYTICS or the handle to
% the existing singleton*.
%
% ANALYTICS('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in ANALYTICS.M with the given input arguments.
%
% ANALYTICS('Property','Value',...) creates a new ANALYTICS or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before Analytics_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to Analytics_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help Analytics
% Last Modified by GUIDE v2.5 15-Nov-2019 22:38:43
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @Analytics_OpeningFcn, ...
'gui_OutputFcn', @Analytics_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
end
% End initialization code - DO NOT EDIT
% --- Executes just before Analytics is made visible.
function Analytics_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to Analytics (see VARARGIN)
% Choose default command line output for Analytics
handles.output = hObject;
% Find app directory
if isdeployed
[~,result]=system('path');
currentDirPre=char(regexpi(result,'Path=(.*?);','tokens','once'));
currentDir=strcat(currentDirPre,'\');
assignin('base','currentDir',currentDir);
else
currentDir='';
end
% Add paths in the PATH
addpath(strcat(currentDir,'src\'));
addpath(strcat(currentDir,'modules\'));
% Define variables to software options
st_options.removeOutliers=1;
st_options.selectVar=0;
st_options.selectOK=0;
assignin('base','st_options',st_options);
% Update the 'handles'
guidata(hObject, handles);
assignin('base','itUiTable',0);
assignin('base','loaded',0);
javaFrame=get(handles.output,'javaframe');
warning('off','MATLAB:HandleGraphics:ObsoletedProperty:JavaFrame');
javaFrame.setFigureIcon(javax.swing.ImageIcon(strcat(currentDir,'icon.ico')));
Htable=findobj('Type','uitable');
jscrollpane=findjobj(Htable);
jtable=jscrollpane.getViewport.getView;
jtable.setSortable(true);
jtable.setAutoResort(true);
jtable.setMultiColumnSortable(false);
jtable.setPreserveSelectionsAfterSorting(true);
%Buttons icon
handles.btCorr.String='';
handles.btEstat.String='';
try
[imCorr,~,~]=imread(strcat(currentDir,'icon2.png'));
[imEstat,~,~]=imread(strcat(currentDir,'icon3.png'));
handles.btCorr.Units='pixels';
handles.btEstat.Units='pixels';
imCorr=imresize(imCorr,fliplr(handles.btCorr.Position(1,3:4)));
imEstat=imresize(imEstat,fliplr(handles.btEstat.Position(1,3:4)));
handles.btCorr.Units='normalized';
handles.btEstat.Units='normalized';
set(handles.btCorr,'CData',imCorr);
set(handles.btEstat,'CData',imEstat);
catch
handles.btCorr.String='Correlação';
handles.btEstat.String='Estatística';
end
end
% UIWAIT makes Analytics wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = Analytics_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
end
% --------------------------------------------------------------------
function menu_abrir_Callback(hObject, eventdata, handles)
% hObject handle to menu_abrir (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
progress=0;
assignin('base','itUiTable',0);
try
[arq, caminho]=uigetfile('*.xls;*.xlsx','Abrir Arquivo');
if arq ~= 0
[~,plan]=xlsfinfo(strcat(caminho,arq));
[selection,ok]=listdlg('PromptString','Selecione a planilha','ListSize',[160 50],'SelectionMode','single','ListString',plan);
if ok==0
return
end
progress=waitbar(0,'Carregando...');
set(handles.figure1,'Pointer','watch')
steps=3;
step=1;
waitbar(step/steps)
[dado,head]=xlsread(strcat(caminho,arq),selection);
set(handles.uitable1,'Data',cellstr(''));
evalin('base','clear matrizcorr matrizcorr_del bom ruim vt'); %Clear any remnant of last run
tamHead=size(head);
for i=tamHead(2):-1:2
if strcmp(head{1,i},'') %Fixing invalid data
head(1,i)=cellstr('[Null]');
end
if ~strcmp(head{2,i},'')
head(:,i)=[];
end
end
for i=2:tamHead(1)
if length(head{i,1})==10
head(i,1)=cellstr(strcat(head{i,1},' 00:00:00'));
end
end
step=step+1;
waitbar(step/steps)
step=step+1;
waitbar(step/steps)
close(progress)
%Loading ComboBox + First matrizcorr column
assignin('base','dado',dado);
assignin('base','dadofix',dado);
assignin('base','head',head);
assignin('base','headfix',head);
matrizcorr=cellstr(head(1,2:end).');
for i=1:length(matrizcorr)
findReturn=matrizcorr{i}==char(10);
marker=find(findReturn);
if marker~=0
temp=matrizcorr{i};
temp(marker)=' ';
matrizcorr(i)=cellstr(temp);
end
end
assignin('base','matrizcorr',matrizcorr);
if get(handles.check_sort,'Value')==0
set(handles.combobox,'string',matrizcorr);
set(handles.selxtar_combobox,'string',matrizcorr);
else
set(handles.combobox,'string',sort(head(1,2:size(head,2))));
set(handles.selxtar_combobox,'string',sort(head(1,2:size(head,2))));
end
strTitle=['Analytics - ',arq];
set(handles.figure1,'Name',strTitle);
assignin('base','loaded',1);
set(handles.figure1,'Pointer','arrow')
mensagem=msgbox('Arquivo carregado com sucesso','Concluido');
cla(handles.tabela1);
cla(handles.tabela2);
set(handles.caixa_menor,'string','0');
set(handles.caixa_maior,'string','0');
set(handles.cx_int_menor,'string','');
set(handles.cx_int_maior,'string','');
pause(1)
try close(mensagem)
end
end
catch
msgbox('Erro ao carregar o arquivo.','Erro','error');
set(handles.figure1,'Pointer','arrow')
try
close(progress)
end
evalin('base','clear dado');
evalin('base','clear head');
end
end
% --- Executes on selection change in combobox.
function combobox_Callback(hObject, eventdata, handles)
% hObject handle to combobox (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%Calculate correlation for every item
cla;
clear dadoOld
global dadoedit
dado=evalin('base','dado');
head=evalin('base','head');
matrizcorr=head(1,2:end).';
string=get(handles.combobox,'String');
set(handles.cx_int_menor,'String','');
set(handles.cx_int_maior,'String','');
%--------------- Inicialize the table maker to Java
Htable=findobj('Type','uitable');
jscrollpane=findjobj(Htable);
jtable=jscrollpane.getViewport.getView;
row=strmatch(string(get(handles.combobox,'value')),cellstr(matrizcorr(:,1)));
row=row(1);
jtable.setRowSelectionAllowed(0);
jtable.setColumnSelectionAllowed(0);
%--------------- Start calcs to show on table
try
for i=1:length(head(1,:))
if strcmp(string(get(handles.combobox,'value')),head{1,i})
index=i-1;
break
end
end
progress=waitbar(0,'Carregando...');
set(handles.figure1,'Pointer','watch')
steps=4+length(matrizcorr(:,1).');
step=1;
for i=1:length(matrizcorr(:,1).')
matrizcorr(i,9)=cellstr(sprintf('%g',min(dado(:,i))));
z=1;
for j=1:length(dado(:,i))
if ~isnan(dado(j,i))
media(z)=dado(j,i);
end
z=z+1;
end
matrizcorr(i,10)=cellstr(sprintf('%g',median(media(:))));
matrizcorr(i,11)=cellstr(sprintf('%g',max(dado(:,i))));
end
set(handles.caixa_menor,'String',sprintf('%.3f',min(dado(:,index))-min(dado(:,index))*0.01));
if strcmp(get(handles.caixa_menor,'String'),sprintf('%.3f',min(dado(:,index))))
if sprintf('%.3f',min(dado(:,index)))==0
set(handles.caixa_menor,'String',0);
else
set(handles.caixa_menor,'String',sprintf('%.3f',min(dado(:,index))-0.001));
end
end
set(handles.caixa_maior,'String',sprintf('%.3f',max(dado(:,index))+min(dado(:,index))*0.01));
if strcmp(get(handles.caixa_maior,'String'),sprintf('%.3f',min(dado(:,index))))
set(handles.caixa_maior,'String',sprintf('%.3f',min(dado(:,index))+0.001));
end
%%%Pearson a Spearman(FP) (w/ pvalue)
for i=1:length(matrizcorr(:,1).')
try [~,pvalue_norm]=adtest(dado(:,i));
catch
pvalue_norm=NaN;
end
try correlacao=corr(dado(:,index),dado(:,i),'rows','pairwise');
catch
correlacao=NaN;
end
try correlacaofp=corr(dado(:,index),dado(:,i),'type','Spearman','rows','pairwise');
catch
correlacaofp=NaN;
end
if correlacao<0
matrizcorr(i,2)=cellstr('-');
end
if correlacaofp<0
matrizcorr(i,4)=cellstr('-');
end
matrizcorr(i,3)=cellstr(sprintf('%0.4f',abs(correlacao)));
matrizcorr(i,5)=cellstr(sprintf('%0.4f',abs(correlacaofp)));
if pvalue_norm <= 0.0005
matrizcorr(i,7)=cellstr('<');
end
matrizcorr(i,8)=cellstr(sprintf('%0.6f',pvalue_norm));
[~,msgid]=lastwarn();
warning('off',msgid);
assignin('base','dadoFULL',matrizcorr);
dadoedit=matrizcorr;
end
waitbar(step/steps)
step=step+1;
%%%------------------
%%%Rsquare
for i=1:length(matrizcorr(:,1).')
mdl=fitlm(dado(:,index),dado(:,i));
[~,msgid]=lastwarn();
matrizcorr(i,6)=cellstr(sprintf('%0.4f',abs(mdl.Rsquared.Adjusted)));
waitbar(step/steps)
step=step+1;
end
warning('off',msgid);
waitbar(step/steps)
step=step+1;
%%%---------
%%% Convert NaN to 0
for i=1:length(matrizcorr(:,1).')
if strcmp((matrizcorr{i,3}),'NaN')
matrizcorr(i,3)=cellstr('0.000a');
end
if strcmp((matrizcorr{i,5}),'NaN')
matrizcorr(i,5)=cellstr('0.000a');
end
if strcmp((matrizcorr{i,6}),'NaN')
matrizcorr(i,6)=cellstr('0.000a');
end
end
%%%---------
vt_bom=NaN(1,length(dado(:,index).'));
vt_tampao=NaN(1,length(dado(:,index).'));
vt_ruim=NaN(1,length(dado(:,index).'));
waitbar(step/steps);
step=step+1;
assignin('base','index',index);
assignin('base','bom',vt_bom);
assignin('base','tampao',vt_tampao);
assignin('base','ruim',vt_ruim);
assignin('base','dadoFULL',matrizcorr);
btCorr_Callback(handles.btCorr,eventdata,handles);
waitbar(step/steps)
set(handles.figure1,'Pointer','arrow')
close(progress)
jtable.changeSelection(row-1,0,false,false);
set(handles.caixa_pBom,'String','100%');
set(handles.caixa_pRuim,'String','0%');
set(handles.caixa_pTampao,'String','0%');
catch erro
set(handles.figure1,'Pointer','arrow')
errordlg(sprintf('Erro ao calcular os dados.\n\n%s', erro.message),'Erro');
close(progress)
end
end
% --- Executes on selection change in popupbom.
function popupbom_Callback(hObject, eventdata, handles)
% hObject handle to popupbom (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if get(handles.popupbom,'value')==1
set(handles.popupruim,'value',1);
reset(handles.tabela1);
end
if get(handles.popupbom,'value')==2
set(handles.popupruim,'value',2);
reset(handles.tabela1);
end
end
% Hints: contents = cellstr(get(hObject,'String')) returns popupbom contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupbom
% --- Executes on selection change in popupruim.
function popupruim_Callback(hObject, eventdata, handles)
% hObject handle to popupruim (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if get(handles.popupruim,'value')==1
set(handles.popupbom,'value',1);
reset(handles.tabela1);
end
if get(handles.popupruim,'value')==2
set(handles.popupbom,'value',2);
reset(handles.tabela1);
end
end
% Hints: contents = cellstr(get(hObject,'String')) returns popupruim contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupruim
% --- Executes when selected cell(s) is changed in uitable1.
function uitable1_CellSelectionCallback(hObject, eventdata, handles)
% hObject handle to uitable1 (see GCBO)
% eventdata structure with the following fields (see MATLAB.UI.CONTROL.TABLE)
% Indices: row and column indices of the cell(s) currently selecteds
% handles structure with handles and user data (see GUIDATA)
cla;
index=evalin('base','index');
dado=evalin('base','dado');
dadoFULL=evalin('base','dadoFULL');
try
num_row=eventdata.Indices(1);
Htable=findobj('Type','uitable');
%---------------
jscrollpane=findjobj(Htable);
jtable=jscrollpane.getViewport.getView;
object=jtable.getValueAt(num_row-1,0);
row=strmatch(object,cellstr(dadoFULL(:,1)));
row=row(1);
%---------------
if index==row
set(handles.radioBom,'Enable','on');
set(handles.radioRuim,'Enable','on');
set(handles.caixa_menor,'Enable','on');
set(handles.caixa_maior,'Enable','on');
set(handles.caixa_pBom,'Visible','on');
set(handles.caixa_pRuim,'Visible','on');
set(handles.caixa_pTampao,'Visible','on');
set(handles.str_Bom,'Visible','on');
set(handles.str_Ruim,'Visible','on');
set(handles.str_Tampao,'Visible','on');
set(handles.cx_int_menor,'Enable','on')
set(handles.cx_int_maior,'Enable','on')
else
set(handles.radioBom,'Enable','off');
set(handles.radioRuim,'Enable','off');
set(handles.caixa_menor,'Enable','off');
set(handles.caixa_maior,'Enable','off');
set(handles.caixa_pBom,'Visible','off');
set(handles.caixa_pRuim,'Visible','off');
set(handles.caixa_pTampao,'Visible','off');
set(handles.str_Bom,'Visible','off');
set(handles.str_Ruim,'Visible','off');
set(handles.str_Tampao,'Visible','off');
set(handles.cx_int_menor,'Enable','off')
set(handles.cx_int_maior,'Enable','off')
end
%--------------- Segmentation good and bad data
set(handles.figure1,'Pointer','watch')
assignin('base','itUiTable',row);
vt_bom=NaN(1,length(dado(:,index).'));
vt_ruim=NaN(1,length(dado(:,index).'));
if get(handles.radioBom,'value')==1
for i=1:length(dado(:,row).')
if dado(i,index)>=str2double(get(handles.caixa_menor,'string')) &&...
dado(i,index)<=str2double(get(handles.caixa_maior,'string'))
vt_bom(i)=dado(i,row);
else
vt_ruim(i)=dado(i,row);
end
end
else
for i=1:length(dado(:,row).')
if dado(i,index)>=str2double(get(handles.caixa_menor,'string')) &&...
dado(i,index)<=str2double(get(handles.caixa_maior,'string'))
vt_ruim(i)=dado(i,row);
else
vt_bom(i)=dado(i,row);
end
end
end
if ~isempty(get(handles.cx_int_maior,'string')) && ~isempty(get(handles.cx_int_menor,'string'))
vt_tampao=NaN(1,length(dado(:,row).'));
for i=1:length(dado(:,row).')
if ~isnan(vt_bom(i))
if dado(i,index)>=str2double(get(handles.cx_int_menor,'string')) &&...
dado(i,index)<=str2double(get(handles.cx_int_maior,'string'))
vt_tampao(i)=vt_bom(i);
vt_bom(i)=NaN;
end
elseif ~isnan(vt_ruim(i))
if dado(i,index)>=str2double(get(handles.cx_int_menor,'string')) &&...
dado(i,index)<=str2double(get(handles.cx_int_maior,'string'))
vt_tampao(i)=vt_ruim(i);
vt_ruim(i)=NaN;
end
end
end
else
vt_tampao=NaN(1,length(dado(:,row).'));
end
assignin('base','bom',vt_bom);
assignin('base','ruim',vt_ruim);
assignin('base','tampao',vt_tampao);
if get(handles.table_hist,'value') % Histogram
table_hist_Callback(handles.table_hist, eventdata, handles)
end
if get(handles.table_dots,'value') % Dots chart
table_dots_Callback(handles.table_dots, eventdata, handles)
elseif get(handles.table_chart,'value') % Control chart
table_chart_Callback(handles.table_chart, eventdata, handles)
end
rangeLim=get(handles.tabela2,'YLim'); %%
rangeLim(1)=rangeLim(1)-rangeLim(1)*0.01; % Define the range
rangeLim(2)=rangeLim(2)+rangeLim(2)*0.01; % of histogram.
set(handles.tabela1,'XLim',rangeLim); %%
if get(handles.table_boxplot,'value') % Boxplot
table_boxplot_Callback(handles.table_boxplot, eventdata, handles)
elseif get(handles.table_selxtar,'value'); % Variable x Variable chart
table_selxtar_Callback(handles.table_selxtar, eventdata, handles);
end
set(handles.figure1,'Pointer','arrow')
catch
set(handles.figure1,'Pointer','arrow')
end
end
function intClasses = ajuste_barras (dados)
% Adjustment intervals lenght of histogram function
minimo=min(dados);
maximo=max(dados);
delta=maximo - minimo;
numClasses=sqrt(length(dados));
intClasses=delta/(numClasses);
if isnan(intClasses)
intClasses=0;
end
end
% --------------------------------------------------------------------
function menu_limpeza_Callback(hObject, eventdata, handles)
% hObject handle to menu_limpeza (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
hand=limites;
waitfor(hand);
choise=evalin('base','buttonchoise');
if choise == 1
h=findobj('Type','histogram');
limbaixo=evalin('base','limbaixo');
limalto=evalin('base','limalto');
h(1).BinLimits=[limbaixo limalto];
classe=ajuste_barras(h(1).Data);
h(1).BinWidth=classe;
h(2).BinLimits=[limbaixo limalto];
h(2).BinWidth=classe;
clear base limalto;
clear base limbaixo;
clear base buttonchoise;
end
end
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hO bject handle to pushbutton5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if get(handles.gra_hist,'value')==1
%%%%%Generate histogram chart
table_hist_Callback(handles.table_hist, eventdata, handles)
end
end
% --- Executes on button press in radioBom.
function radioBom_Callback(hObject, eventdata, handles)
% hObject handle to radioBom (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if get(handles.radioRuim,'value')==0
set(hObject,'value',1);
else
set(handles.radioRuim,'value',0);
caixa_menor_Callback(handles.caixa_menor, eventdata, handles)
end
% Hint: get(hObject,'Value') returns toggle state of radioBom
end
% --- Executes on button press in radioRuim.
function radioRuim_Callback(hObject, eventdata, handles)
% hObject handle to radioRuim (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if get(handles.radioBom,'value')==0
set(hObject,'value',1);
else
set(handles.radioBom,'value',0);
set(hObject,'value',1);
caixa_menor_Callback(handles.caixa_menor, eventdata, handles)
end
% Hint: get(hObject,'Value') returns toggle state of radioRuim
end
% --- Executes when user attempts to close figure1.
function Analytics_CloseRequestFcn(hObject, eventdata, handles)
% hObject handle to figure1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
evalin('base','clear all');
% Hint: delete(hObject) closes the figure
delete(hObject);
end
% --- Executes when entered data in editable cell(s) in uitable1.
function uitable1_CellEditCallback(hObject, eventdata, handles)
% hObject handle to uitable1 (see GCBO)
% eventdata structure with the following fields (see MATLAB.UI.CONTROL.TABLE)
% Indices: row and column indices of the cell(s) edited
% PreviousData: previous data for the cell(s) edited
% EditData: string(s) entered by the user
% NewData: EditData or its converted analytics set on the Data property. Empty if Data was not changed
% Error: error string when failed to convert EditData to appropriate value for Data
% handles structure with handles and user data (see GUIDATA)
global dadoedit
dado=evalin('base','dado');
dadofix=evalin('base','dadofix');
index=evalin('base','index');
dadoFULL=evalin('base','dadoFULL');
row=evalin('base','itUiTable');
st_options=evalin('base','st_options');
% Variable 'dado' editing
step=1;
steps=5;
progress=waitbar(0,'Carregando...');
set(handles.figure1,'Pointer','watch')
waitbar(step/steps);
switch st_options.removeOutliers
case 0
step=step+1;
waitbar(step/steps);
if eventdata.Indices(2)==2
for i=1:length(dado(:,row))
if dadofix(i,row)>=str2double(eventdata.EditData) ...
&& dadofix(i,row)<=str2double(dadoedit(row,11))
dado(i,row)=dadofix(i,row);
else
dado(i,row)=NaN;
end
end
dadoedit(row,9)=cellstr(event.EditData);
dadoFULL(row,9)=cellstr(event.EditData);
elseif eventdata.Indices(2)==4
for i=1:length(dado(:,row))
if dadofix(i,row)<=str2double(eventdata.EditData) ...
&& dadofix(i,row)>=str2double(dadoedit(row,9))
dado(i,row)=dadofix(i,row);
else
dado(i,row)=NaN;
end
end
dadoedit(row,11)=cellstr(event.EditData);
dadoFULL(row,11)=cellstr(event.EditData);
elseif eventdata.Indices(2)==9
for i=1:length(dado(:,row))
if dadofix(i,row)>=str2double(eventdata.EditData) ...
&& dadofix(i,row)<=str2double(dadoedit(row,11))
dado(i,row)=dadofix(i,row);
else
dado(i,row)=NaN;
end
end
dadoedit(row,9)=cellstr(event.EditData);
dadoFULL(row,9)=cellstr(event.EditData);
elseif eventdata.Indices(2)==11
for i=1:length(dado(:,row))
if dadofix(i,row)<=str2double(eventdata.EditData) ...
&& dadofix(i,row)>=str2double(dadoedit(row,9))
dado(i,row)=dadofix(i,row);
else
dado(i,row)=NaN;
end
end
dadoedit(row,11)=cellstr(event.EditData);
dadoFULL(row,11)=cellstr(event.EditData);
end
step=step+1;
waitbar(step/steps);
dadoFULL(row,10)=cellstr(sprintf('%g',median(dado(~isnan(dado(:,row)),row))));
% Change the data edited color style
if isdeployed
currentDir=evalin('base','currentDir');
else
currentDir='';
end
javaaddpath(strcat(currentDir,'ColoredFieldCellRenderer.zip'));
cr=ColoredFieldCellRenderer(java.awt.Color.white);
cr.setDisabled(false);
step=step+1;
waitbar(step/steps);
if eventdata.Indices(2)==2
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),9)=cellstr(Stemp);
elseif eventdata.Indices(2)==4
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),11)=cellstr(Stemp);
elseif eventdata.Indices(2)==9
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),9)=cellstr(Stemp);
elseif eventdata.Indices(2)==11
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),11)=cellstr(Stemp);
end
step=step+1;
waitbar(step/steps);
assignin('base','dadoFULL',dadoFULL);
assignin('base','dado',dado);
reset(handles.tabela1);
h1=histogram(handles.tabela1,dado(:,row));
h1.BinWidth=ajuste_barras(h1.Data);
h1.FaceColor=[0.666667 0.666667 0.666667];
%--------------------------------------------------------------------------------
case 1
step=step+1;
waitbar(step/steps);
if eventdata.Indices(2)==2
for i=1:length(dado(:,row))
if dadofix(i,row)>=str2double(eventdata.EditData) ...
&& dadofix(i,row)<=str2double(dadoedit(row,11))
dado(i,:)=dadofix(i,:);
else
dado(i,:)=NaN;
end
end
dadoedit(row,9)=cellstr(eventdata.EditData);
dadoFULL(row,9)=cellstr(eventdata.EditData);
elseif eventdata.Indices(2)==4
for i=1:length(dado(:,row))
if dadofix(i,row)<=str2double(eventdata.EditData) ...
&& dadofix(i,row)>=str2double(dadoedit(row,9))
dado(i,:)=dadofix(i,:);
else
dado(i,:)=NaN;
end
end
dadoedit(row,11)=cellstr(eventdata.EditData);
dadoFULL(row,11)=cellstr(eventdata.EditData);
elseif eventdata.Indices(2)==9
for i=1:length(dado(:,row))
if dadofix(i,row)>=str2double(eventdata.EditData) ...
&& dadofix(i,row)<=str2double(dadoedit(row,11))
dado(i,:)=dadofix(i,:);
else
dado(i,:)=NaN;
end
end
dadoedit(row,9)=cellstr(eventdata.EditData);
dadoFULL(row,9)=cellstr(eventdata.EditData);
elseif eventdata.Indices(2)==11
for i=1:length(dado(:,row))
if dadofix(i,row)<=str2double(eventdata.EditData) ...
&& dadofix(i,row)>=str2double(dadoedit(row,9))
dado(i,:)=dadofix(i,:);
else
dado(i,:)=NaN;
end
end
dadoedit(row,11)=cellstr(eventdata.EditData);
dadoFULL(row,11)=cellstr(eventdata.EditData);
end
step=step+1;
waitbar(step/steps);
dadoFULL(row,10)=cellstr(sprintf('%g',median(dado(~isnan(dado(:,row)),row))));
% Change the data edited color style
if isdeployed
currentDir=evalin('base','currentDir');
else
currentDir='';
end
javaaddpath(strcat(currentDir,'ColoredFieldCellRenderer.zip'));
cr=ColoredFieldCellRenderer(java.awt.Color.white);
cr.setDisabled(false);
step=step+1;
waitbar(step/steps);
if eventdata.Indices(2)==2
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),9)=cellstr(Stemp);
elseif eventdata.Indices(2)==4
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),11)=cellstr(Stemp);
elseif eventdata.Indices(2)==9
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),9)=cellstr(Stemp);
elseif eventdata.Indices(2)==11
Stemp='<html><span style="color:#FF0000"><b>';
Stemp=strcat(Stemp,num2str(eventdata.EditData));
Stemp=strcat(Stemp,'</b></span></html>');
dadoFULL(eventdata.Indices(1),11)=cellstr(Stemp);
end
step=step+1;
waitbar(step/steps);
assignin('base','dadoFULL',dadoFULL);
assignin('base','dado',dado);
reset(handles.tabela1);
h1=histogram(handles.tabela1,dado(:,row));
h1.BinWidth=ajuste_barras(h1.Data);
h1.FaceColor=[0.666667 0.666667 0.666667];
end
%--- End of variable 'dado' editing
% Update correlations
%%%Pearson a Spearman(FP) (w/ pvalue)
matrizcorr=dadoFULL;
step=1;
steps=8+length(matrizcorr(:,1).')*2;
waitbar(step/steps);
for i=1:length(matrizcorr(:,1).')
step=step+1;
waitbar(step/steps);
try [~,pvalue_norm]=adtest(dado(:,i));
catch
pvalue_norm=NaN;
end
try correlacao=corr(dado(:,index),dado(:,i),'rows','pairwise');
catch
correlacao=NaN;
end
try correlacaofp=corr(dado(:,index),dado(:,i),'type','Spearman','rows','pairwise');
catch
correlacaofp=NaN;
end
if correlacao<0
matrizcorr(i,2)=cellstr('-');
end
if correlacaofp<0
matrizcorr(i,4)=cellstr('-');
end
matrizcorr(i,3)=cellstr(sprintf('%0.4f',abs(correlacao)));
matrizcorr(i,5)=cellstr(sprintf('%0.4f',abs(correlacaofp)));
if pvalue_norm <= 0.0005
matrizcorr(i,7)=cellstr('<');
end
matrizcorr(i,8)=cellstr(sprintf('%0.6f',pvalue_norm));
[~,msgid]=lastwarn();
warning('off',msgid);
assignin('base','dadoFULL',matrizcorr);
end
step=step+1;
waitbar(step/steps);
%%%------------------
%%%Rsquare
for i=1:length(matrizcorr(:,1).')
mdl=fitlm(dado(:,index),dado(:,i));
[~,msgid]=lastwarn();
matrizcorr(i,6)=cellstr(sprintf('%0.4f',abs(mdl.Rsquared.Adjusted)));
step=step+1;
waitbar(step/steps);
end
warning('off',msgid);
step=step+1;
waitbar(step/steps);
%%%---------
%%% NaN to 0
for i=1:length(matrizcorr(:,1).')
if strcmp((matrizcorr{i,3}),'NaN')
matrizcorr(i,3)=cellstr('0');
end
if strcmp((matrizcorr{i,5}),'NaN')
matrizcorr(i,5)=cellstr('0');
end
if strcmp((matrizcorr{i,6}),'NaN')
matrizcorr(i,6)=cellstr('0');
end
end
assignin('base','dadoFULL',matrizcorr);
step=step+1;
waitbar(step/steps);
%--- End of correlations update
assignin('base','itUiTable',row);
vt_bom=NaN(1,length(dado(:,index).'));
vt_ruim=NaN(1,length(dado(:,index).'));
if get(handles.radioBom,'value')==1
for i=1:length(dado(:,row).')
if dado(i,index)>=str2double(get(handles.caixa_menor,'string')) &&...
dado(i,index)<=str2double(get(handles.caixa_maior,'string'))
vt_bom(i)=dado(i,row);
else
vt_ruim(i)=dado(i,row);
end
end
else
for i=1:length(dado(:,row).')
if dado(i,index)>=str2double(get(handles.caixa_menor,'string')) &&...
dado(i,index)<=str2double(get(handles.caixa_maior,'string'))
vt_ruim(i)=dado(i,row);
else
vt_bom(i)=dado(i,row);
end
end
end
step=step+1;
waitbar(step/steps);
if get(handles.table_hist,'value') %Histogram
table_hist_Callback(handles.table_hist, eventdata, handles)
end
step=step+1;
waitbar(step/steps);
if get(handles.table_dots,'value') %%% Dots chart
table_dots_Callback(handles.table_dots, eventdata, handles)
elseif get(handles.table_chart,'value') %%% Control chart
table_chart_Callback(handles.table_chart, eventdata, handles)
end
step=step+1;
waitbar(step/steps);
set(handles.tabela1,'XLim',get(handles.tabela2,'YLim'));
if get(handles.table_boxplot,'value') %Boxplot
table_boxplot_Callback(handles.table_boxplot, eventdata, handles)
elseif get(handles.table_selxtar,'value'); %Variable x Variable chart
table_selxtar_Callback(handles.table_selxtar, eventdata, handles)
end
step=step+1;
waitbar(step/steps);
assignin('base','bom',vt_bom);
assignin('base','ruim',vt_ruim);
if eventdata.Indices(2)==2 || eventdata.Indices(2)==4
btEstat_Callback(handles.btEstat, eventdata, handles);
else
btCorr_Callback(handles.btCorr, eventdata, handles);
end
set(handles.figure1,'Pointer','arrow')
close(progress)
Htable=findobj('Type','uitable');
jscrollpane=findjobj(Htable);
jtable=jscrollpane.getViewport.getView;
jtable.changeSelection(eventdata.Indices(1)-1,eventdata.Indices(2)-1,false,false);
end
% --------------------------------------------------------------------
function form_Options_Callback(hObject, eventdata, handles)
% hObject handle to form_Options (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
form_Options;
end
% --- Executes on button press in btCorr.
function btCorr_Callback(hObject, eventdata, handles)
% hObject handle to btCorr (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%Define main table exibition mode
matrizcorr=evalin('base','dadoFULL');
get(handles.uitable1,'data');
matrizcorr_new=matrizcorr(:,1:11);
for i=1:length(matrizcorr_new)
vet_tam(i)=length(matrizcorr_new{i,1});
end
max_tam=max(vet_tam);
set(handles.uitable1,'data',matrizcorr_new);
set(handles.uitable1,'ColumnName',{'Nome';[];'Pearson';[];'Spearman';'R²';[];'P-Value';'Min';'Mediana';'Max'});
set(handles.uitable1,'ColumnWidth',{max_tam*5 10 'auto' 10 'auto' 'auto' 10 'auto' 'auto' 'auto' 'auto'});
set(handles.uitable1,'ColumnEditable',[false false false false false false false false true false true]);
end
% --- Executes on button press in btEstat.
function btEstat_Callback(hObject, eventdata, handles)
% hObject handle to btEstat (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%Define main table exibition mode
matrizcorr=evalin('base','dadoFULL');
matrizcorr_new=[matrizcorr(:,1) matrizcorr(:,9:11)];
set(handles.uitable1,'data',matrizcorr_new);
set(handles.uitable1,'ColumnName',{'Nome';'Min';'Mediana';'Max'});
set(handles.uitable1,'ColumnWidth',{'auto' 'auto' 'auto' 'auto'});
set(handles.uitable1,'ColumnEditable',[false true false true]);
end
function ctrlChart_Callback(hObject, eventdata, handles)
% hObject handle to ctrlChart (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%Start control chart
if evalin('base','loaded')~=0
fh=ControlChart;
waitfor(fh);
else
msgbox({'Dado inexistente.' 'Carregue uma fonte de dados antes de solicitar uma carta de controle.'},'Erro','error');
end
end
% --------------------------------------------------------------------
function corrTab_Callback(hObject, eventdata, handles)
% hObject handle to corrTab (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%Start the color correlation chart
if evalin('base','loaded')~=0
fh=matrizcor;
waitfor(fh);