Comments and Ratings

very good

Great toolbox!!! Many Thanks.

moisy.nospam@fast.u-psud.fr bounces me every time...

Sorry...you are right. One more question in light of my fractal inexperience: why is the algorithm not give a full topological dimension whenever we put a square or a cube as input? Rather it gives 1.96 or 2.9. I thought that for smooth manifolds, the fractal dimension is equal to the topological dimension. Is there an approximation somewhere, or how could I modify your code to get a full 3 for a cube input?

Hi Frederic

Could you point me in the right direction about your boxcounting algorithm? If I put a cube as input the program crashes; I thought that it was an easy way to check for consistency of the results.

Hi Frederic, well im sending you this mail because i have a problem with this tool, first of all say to you thanks for this tool i think that is really good, ok , so there are 2 problems:

1) i have a problem with the weight
 In order to perform a weighted fit on this data, the vectors y and dy have to be merged into a 2-by-N matrix and given as the second input argument to ezfit. Compare the results for the usual and weighted fits:
fw = ezfit(x, [y;dy], 'exp');
showfit(fw,'fitcolor','red');
f = ezfit(x, y, 'exp');
showfit(f,'fitcolor','blue');
my problem is that when i do this (exactly the same) the data [y;dy] is from a different size than x, so obiously i get this error:

??? Error using ==> ezfit at 272
X and Y dimensions must agree.

if you can help me with this it would be great..

2)the other problem is that when i plot more than one fit for the same data, the plot just shows one legend that is pasted into the other legend, hahaha, so i just can see one of the 2 legends that should appear (showing me the different equations)...

ok, frederic sorry for asking you this questions but i really need to know this,

thanks very much,

splendid tool. inclusion of statistical tests such as RMSE, t-statistics and R-squared statistics in ezyfit menu will enhance the functionality of the toolbox.

Oh soo cool! Just what I needed.Very nicely done.

I just downloaded this and it's great! Very easy to use and non-cluttered. 5 over 5! Is there any where I can obtain more in-depth information about how it works and what the output values really mean? That would be superb.

Thank you for this great toolbox

Very useful and well explained. Thank you!

good

(Sorry for the unintentional rating of my own file on my previous post!)

TO UNINSTALL THE EZYFIT TOOLBOX:
1. Edit the 'startup.m' file (type 'edit startup') and remove the 2 lines starting with 'efmenu' and 'fprintf()'
2. Go the menu 'File', 'Set Path', and remove the directory 'ezyfit'
3. Restart Matlab

CONCERNING THE ISSUE OF THE EZYFIT MENU IN SAVED FIGURES AND GUIs:
Sorry for this bug, I have no idea on how to fix it. Suggestions are welcome. Note that you can use the Ezyfit toolbox without using the Ezyfit menu. For this, apply step 1 above.

Hope this helps - The author.

Take a look at the known problems: "If the Ezyfit toolbox has been installed using efmenu, all GUI figure windows created using GUIDE have the Ezyfit menu included. Uninstalling the Ezyfit toolbox produces an error, since the GUI looks for the menu which is not available. No solution for the moment."
Using efmenu off does not remove the menus.
This is a clear minus for an otherwise very useful toolbox.

impossible to remove their menu from your gui figures and uninstall cleanly

Just downloaded this, it looks great! Any functions I have tried (so far) work very easily and smoothly. Are there any plans to include lorentzian fitting in the tool box?

ok

Excellent and smooth!

Used the GUI menu without any hitches. Intuitive and easy-to-use. Excellent.

I tried on matlab version 7.0 it works but gives hindex=0 whereas on matlab 7.1 "internet connection failed" --- I will try on version 6.5 ....

Excellent