Useful functions for manipulating and fitting data using the modified Rosin-Rammler distribution.
These functions are pretty straightforward, and are provided primarily as a simple, useful curve-fitting example. Much of the code is adapted directly from the "fitcurvedemo" detailed in the MatLab help files.
DS (2020). Modified Rosin-Rammler Distribution (https://www.mathworks.com/matlabcentral/fileexchange/14280-modified-rosin-rammler-distribution), MATLAB Central File Exchange. Retrieved .
I have to apologize, my fingers where faster than my mind - the correction above is wrong.
Thanks, this is just what I was looking for. Just one minor mistake in the file mRosinRammlerPDF.m
y = (exp(-((log(X)./log(D)).^q))...
.* ((log(X)./log(D)).^q))... => here should be .^(q-1)
.* (1./(X .* log(X)));
Fixed the html nonsense, no changes to the functions.