MATLAB: I see an error ‘coefci’ or ‘paramci’ not found in MATLAB

Statistics and Machine Learning Toolbox

Why I see an error 'coefci' or 'paramci' not found in MATLAB?

Best Answer

This is caused by the way the function 'coefci' and 'paramci' have to be invoked.

These are method of classes in the Statistics and Machine Learning Toolbox. That is why the functions can only be used, when a correct object was declared and used as the input.

Please read through the documentation on how to work with these objects:

https://mathworks.com/help/stats/working-with-probability-distributions.html

You could also directly try to read through the help by using the following command on the 'paramci' method:

>> help prob.normaldistribution.paramci

Here you can see how MATLAB searches for functions:

https://mathworks.com/help/matlab/matlab_prog/function-precedence-order.html

Related Solutions

MATLAB: How to perform Maximum Likelihood Estimation for power law and custom distributions

The expression, y = a*x^(b) * e^(lambda*x), is the gamma distribution. Please refer to the following documentation for the gamma distribution:

https://www.mathworks.com/help/releases/R2016b/stats/gamma-distribution.html

You can use the "gamfit" or "fitdist" function to fit the above distribution via maximum likelihood, rather than fitting "a", "b", and "lambda" separately, as they cannot be selected independently. It is not considered as a valid probability density unless "a" is a specific function of "b" and "lambda". Please refer to the following link for more information on using the "gamfit" and "fitdist" functions respectively:

https://www.mathworks.com/help/releases/R2016b/stats/gamfit.html

https://www.mathworks.com/help/releases/R2016b/stats/fitdist.html

For the power law distribution, you can use the "mle" function, but you need to write a function that computes the "pdf" or "logpdf" of the power law distribution. Please refer to the attached example, "powerLawExample.m", that demonstrates how to use the "mle" function by writing a function that computes the "logpdf" of the power law distribution.

MATLAB: How to obtain the coordinates of the mouse on the screen displayed somewhere in the figure window

This enhancement has been incorporated in MATLAB 7.5 (R2007b).

As a workaround in previous MATLAB releases, you can use the following MATLAB function to track mouse motion:

function mousetrk
%MOUSETRK function to track mouse motion
% This function creates two static text controls
% which contain the x & y coordinates of the mouse
% The driving callback is executed by the
% WindowButtonMotionFcn of the figure.
figure
axes('Visible','off')
xbox = uicontrol('Style','text','Tag','xbox');
xboxlabel = uicontrol('Style','text','String','X Value',...
    'Position',get(xbox,'position')+[0 21 0 0]);
ybox = uicontrol('Style','text','Position',[90 20 60 20],'Tag','ybox');
yboxlabel = uicontrol('Style','text','String','Y Value',...
    'Position',get(ybox,'position')+[0 21 0 0]);
callback = ['pt = get(gca,''CurrentPoint'');'...
  'xbox = findobj(''Tag'',''xbox'');' ...
  'ybox = findobj(''Tag'',''ybox'');' ...
  'set(xbox,''String'',num2str(pt(1,1)));' ...
  'set(ybox,''String'',num2str(pt(1,2)));'];
set(gcf,'WindowButtonMotionFcn',callback);

For more information on the WindowButton functions, please refer to the Handle Graphics Property Browser:

https://www.mathworks.com/help/releases/R2009b/techdoc/infotool/hgprop/doc_frame.html

Best Answer

Related Solutions

MATLAB: How to perform Maximum Likelihood Estimation for power law and custom distributions

MATLAB: How to obtain the coordinates of the mouse on the screen displayed somewhere in the figure window

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