GUI Data Acquisition Backwards

Need:

I have several excel files all put in a folder entitled "data"

This GUI is supposed to grab those files but the acquisition is currently backwards.

The two data sets I am interested in are labeled "HeadRight" and "RightFrontPlate" in the column labels of the excel files.

Code:

% --- Executes on button press in choosedir.

function choosedir_Callback(hObject, eventdata, handles)

% hObject handle to choosedir (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

directory = uigetdir;

set(handles.textbox1,'String',directory);

guidata(hObject,handles)

% --- Executes on button press in readdir.

function readdir_Callback(hObject, eventdata, handles)

% hObject handle to readdir (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

directory=get(handles.textbox1,'String');

files=dir(directory);

for i=1:(length(files)-2)

    s=files(i+2).name;

    s=strcat('\',s);

    L=strcat(directory, s);

   [num, txt, all] = xlsread(L); %%your excel file must not have first line titles

for j=1:length(txt);

    txt{j}=regexprep(txt{j},'','NaN');

    %delete space in string

    % text{j}=num(:,j);

    handles.data(i).(txt{j})=num(:,j);

guidata(hObject,handles);

end

guidata(hObject,handles)

end

display('Data reading is complete.')

% --- Executes on button press in headdata.

function headdata_Callback(hObject, eventdata, handles)

% hObject handle to headdata (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

% Hint: get(hObject,'Value') returns toggle state of headdata

handles = guidata(hObject);

if (get(hObject,'Value') == get(hObject,'Max'))

    for i = 2:length(handles.data);

    handles.datapatch = handles.data(i).HeadRight;

    handles.int = handles.data(1).DetectionCode;

    end

    guidata(hObject,handles)

    display('headdata works');

end

% --- Executes on button press in platedata.

function platedata_Callback(hObject, eventdata, handles)

% hObject handle to platedata (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB

% handles structure with handles and user data (see GUIDATA)

% Hint: get(hObject,'Value') returns toggle state of platedata

handles = guidata(hObject);

if (get(hObject,'Value') == get(hObject,'Max'))

    for i = 2:length(handles.data);

    handles.datapatch = handles.data(i).RightFrontPlate;

    handles.int = handles.data(1).DetectionCode;

    end

    guidata(hObject,handles)

    display(handles.data(2).RightFrontPlate(1))

    display('platedata works');

end

Issue:

For some reason, the GUI subfunction used to call the HeadRight data returns an error message saying that the variable "HeadRight" is undefined. Running the GUI subfunction used to call the RightFrontPlate data returns the HeadRight data

Answer 1

[Sean de Wolski]

Put a break point on that line throwing the error and stop to see what's happening, what is HeadRight? Where did it come from? Did the place that it is supposed to come from ever run? Put a breakpoint there and repeat!

[Zeke Merchant]

The headdata sub function is where HeadRight gets defined. What confuses me is that the head data sub function says that HeadRight is undefined but the plate data sub function returns HeadRight data.

[Sean de Wolski]

Okay, it returns it - but what does it do with it? Does it store it to handles?

[Zeke Merchant]

Yes it stores properly. I checked the dimensions by printing the handles list. It's just storing the data for the wrong column.

It is supposed to be stored into the handle called handles.datapatch

Data patch is used later in a function that creates a matrix where the first row is the data patch (either head data or plate data, depending on what is chosen) array of te first file in the data folder. The second row is the second file, etc.

That matrix is to be used later to plot many trials on the same plot. The ultimate goal is to look for a correlation between data files.