How can I "install" a function of file exchange in Matlab?

I'm a new Matlab user and I have a simple question. I found some good Matlab functions in the file exchange, like http://www.mathworks.com/matlabcentral/fileexchange/38848-historical-value-at-risk

But I don't know how to "install" that package to Matlab? So that I can use it with typing the function name and e.g. find the description in the Help of Matlab.

Thanks for your help.

[Edin Michael]

https://in.mathworks.com/matlabcentral/fileexchange/40849-niblack-local-thresholding

I have a similar question. In the link given above there is no mat file. So how do I add the function to the directory.

[Stephen23]

" In the link given above there is no mat file"

Why does that submission require a .mat file? The submission you linked to contains two Mfiles, neither of which appears to load any .mat file, so it is not clear why you expect a .mat file to be included with the submission.

In any case, to use it click the Download button (top right-hand corner), and then unzip onto the MATLAB Search Path (e.g. the current directory), and it is ready to be used (following its instructions and help).

Answer 1

[Sean de Wolski]

You just have to make sure that the function is saved in a folder that is on the MATLAB path. You can add folders to the path using the pathtool. Simply type at the command line:

pathtool

[Tobi]

It is possible to manually cut the downloaded folder and paste it to the MATLAB path? Or do I have to use pathtool?

[Sean de Wolski]

Yeah!

This is usually what I do. Just copy it into your Documents/MATLAB directory (i.e. the output from:

>> userpath

)

[gcranston]

Do you need to reload anything to see the files on this path?

NINJA EDIT: apparently not, it just doesn't recurse subdirs.

[Brando Miranda]

do pathtool and then what?!?!?!

[Walter Roberson]

pathtool, "add directory and subdirectories", browse to find the one the code is in, select it. That will bring the directory and subdirectories into the directory list. I recommend then clicking on "move to bottom" to avoid interfering with anything you already have. Then "save" and then "close".

[Shel]

Hi ,

I want to use this file for binarization of my dicom images. https://www.mathworks.com/matlabcentral/fileexchange/40856-bernsen-local-image-thresholding for that I should download it and after that by "addpath" or "pathtool" find the directory of unziped files. But I do not know what I should do next because after this if I put the .m file in the editor, the software states:

>> bernsen
Not enough input arguments.

Error in bernsen (line 47)
if ndims(image) ~= 2

and if I copy it in the command window:

function output = bernsen(image, varargin)
 ↑
Error: Function definitions are not permitted in this context.

Can you please guide me how I can use it? I need it for binarization of a series of 3000 dicom images!

[Walter Roberson]

You have to pass in the image data. The documentation says:

%   Examples
%   -------
%       % Threshold MATLAB's grayscale example image 
%       imshow(bernsen(imread('eight.tif')));
%
%       % Threshold the attached jpg image
%       imshow(bernsen(rgb2gray(imread('image.jpg')), [93,93]));
%

That is, you have to have image data, perhaps produced by imread, and you pass that image data to bernsen(), and it returns back an image, which you can store or display.

[Shel]

Thanks alot.

Answer 2

[Wayne King]

Create a folder on your machine called histvar and then unzip the contents of that zip file into that folder, then at the MATLAB command prompt enter

>> addpath 'c:\histvar'

or whatever the appropriate command for your operating system is. You can also use pathtool to get a GUI for adding the folder.

The above will add that folder to the MATLAB path so that MATLAB can find the functions.

If you successfully add the folder to the MATLAB path, you can enter

>>which computeHistoricalVaR

and you see the path to that M-file. You should then be able to copy and paste the following code into the command window.

   load data
   confidence_level = 0.95;
   plot_flag = true;
   figure
   VAR_hist = computeHistoricalVaR(returns,confidence_level,plot_flag)

[Tobi]

perfect, I got it. Thank you.

Answer 3

[Azzi Abdelmalek]

click on download submission, you will download a zip file. After download, unzip your files then use them as matlab files

Answer 4

[Steven Lord]

If you're using release R2015b or later, use the Add-On Explorer.