Hi everyone! I would like to ask the difference between this codes using the command fprintf in matlab. > x = 3; y = 2.71; z = x*y; > fprintf('%d items at $%.2f\nTot = $%5.2f\n',x,y,z) and > x = 3; y = 2.71; z = x*y; ...
Hi Does anybody knows how to use fit in log(Y). I mean I have x and y data, I am plotting it and fitting points by straight line using matlab toolbox. When I take log in Y axis my straight fit line becomes curve line. I want straight line fit not curve fit. ...
I would like to use the MATLAB nlinfit to fit an histogram to a sum of two Gaussians. The histogram represents an intensity distribution of fluorescent spots (see below) of two populations - first at around 200 (x-value) and the second at around 400(x-v...
How to use fitrgp in Simulink?. Learn more about fitrgp, simulink, mxarray, matlab function, regression, gaussian process
How to use matlab to fit the ex-gaussian and other probability functions to a distribution of response times. Tutorials Quant Methods Psychol 2008; 4: 35-45.Lacouture, Y., Cousineau, D. (in press). How to use MATLAB to fit the ex-Gaussian and other probability functions to a ...
Nonetheless, an easy-to-use app is always desirable and sometimes a requirement when the app needs to be published. In this presentation, learn tips and tricks to design appealing and user-friendly apps with MATLAB, such as: customizing graphics objects resizing the app components to fit every...
user-friendly applications requires design considerations which might elude the engineer who is—rightfully—focused on the app’s functionality rather than aesthetics or usability aspects. Nonetheless, an easy-to-use app is always desirable and sometimes a requirement when the app needs to be ...
user-friendly applications requires design considerations which might elude the engineer who is—rightfully—focused on the app’s functionality rather than aesthetics or usability aspects. Nonetheless, an easy-to-use app is always desirable and sometimes a requirement when the app needs to be ...
a function of t and plot your actual p that you used to do (train/build) the fit. Your actual p will probably bounce around the perfect formula curve. You can either just visualize it, or subtract them and find where difference are more than some acceptable number, or you can use ...
. As such, you cannot index into this array because MATLAB thinks you are assigning (via subscripting) to an empty fit object. Instead, you can hold your "fit" objects in a cell array. The only change you need to make to your code is to use curly brace...