Model-based Calibration Toolbox in Matlab 2011a 64 - matlab

I am using Matlab 2011a, 64bit and looking for Model-based Calibration toolbox but I couldn't find.
In the last version (2009) I just typed in the command line: "mbcmodel" and I got the toolbox. But in this version, I couldn't do it.

You may not have the product installed with your new version. Type ver at the MATLAB command line to see which products you have installed. If you don't see Model Based Calibration Toolbox, that would be the issue.

Related

repeated measures anova in MATLAB

I have MATLAB 2017b. I see that matlab has recently included a function ranova for repeated measures anova, but whenever I want to use it, the following message is returned:
>> ranova(Accuracies)
Undefined function or variable 'ranova'.
Is there a specific toolbox I would need, or what is the problem?
This ones are the ones I have:
MATLAB Version 9.3 (R2017b)
Simulink Version 9.0 (R2017b)
Bioinformatics Toolbox Version 4.9 (R2017b)
Matlab Toolbox for Dimensionality Reduction Version 0.8
Optimization Toolbox Version 8.0 (R2017b)
Statistics and Machine Learning Toolbox Version 11.2 (R2017b)

using autocorr for different matlab versions

I'm trying to compute the autocorrelation of my timeseries. This work on my laptop with matlab R2011a, but not on my desktop with matlab R2013a. I read somewhere that the Signal Processing Toolbox needs to be installed, and that is the case on both of my computers. There seems to be no function at all called autocorr, but I can find it again on the matworks documentation for 2014b. I have the same problem with xcorr, although matlab seems to recognize the function ('help xcorr' works, 'help autocorr' not).
How can I fix this?

How from script in Matlab 2011a call function from Matlab 2013b?

I have a bunch of scipts and MEX-files that developed for MAtlab 2011a version. They doesn't work on 2013b version. But Matlab 2013b has a function with desired functionality... So how can I run scipts in Matlab 2011a, but with call one function from 2013b version?
I have error
Unexpected Standard exception from MEX file.
What() is:
Device -1: deviceMatrix(): no CUDA-capable device is detected
what looks like unsolvable for me because I cannot rewrite MEX-file.
There is CUDA-device which is detected fine by 2011a version.
I'm asking a particular question. I cannot rewrite MEX-file because I do not want to dive into it - it is not my code and I don't know CUDA and that way that I'm asking for looks like much simpler for me at least at this step of my work. Later if function will fits for me I will think about going to Matlab 2013b version.
Yes, CUDA is aviable on Matlab 2013b.

How to use lassoglm in matlab

I have this issue while using the lassoglm function in matlab. My matlab says that the statistics toolbox is installed. However, I couldn't see lassoglm function available in my matlab
Your Matlab version isn't recent enough.
It isn't there on my R2010a version. The documentation on the website is for 2012b.

matlab & beagleboard xm

Can I install matlab on beagleboard xm (running ubuntu 12.04)? If I can't how can I run matlab on beagleboard xm. I installed octave and it runs perfect but I need to use Matlab.
The short answer is NO. zellus is correct. Matlab requires a SSE2 instruction set. All ARM chip does not support SSE2. Just different architecture. See the disscussion at Mathworks:
http://www.mathworks.co.kr/matlabcentral/newsreader/view_thread/320518
http://www.mathworks.co.uk/support/solutions/en/data/1-B3MR75/
Referring to System Requirements - Release 2012a MATLAB only runs on
Any Intel or AMD x86 processor supporting SSE2 instruction set**
As stated on BeagleBoard-xM Product Details
BeagleBoard-xM delivers extra ARM ® Cortex TM-A8
is equipped with an ARM processor. Therefore I expect MATLAB not to run.
With the proper toolbox, you could generate code than run on ARM processors like the BeagleBoard
As already pointed out you probably don't want to (or can) install Matlab on the beagleboard but have Matlab generate C-code that will run on the board. For this you will need either Matlab Coder or Matlab Embedded Coder. The embedded toolbox produces "better/cleaner" code but is pricier than its non-embedded alternative. Please also note that if you need to do the same with Matlab simulink models you need even more toolboxes.