MATLAB: Undefined function or method ‘gaussian1D’ for input arguments of type ‘double’.

errorgaussian1dMATLABundefined function or method

I get this error when i simulate the code "y1 = gaussian1D(x, mu(1), sigma(1)); "Undefined function or method 'gaussian1D' for input arguments of type 'double'. please tell me how can i get its toolbox.

Best Answer

The function gaussian1D does not exist, therefore you cannot call it. If you are looking to get a sample from the 1D Gaussian distribution, use "randn" instead. Note that this is the N(0,1) distribution, so you need to fix it manually, e.g.

sample = mu + sigma*randn(1,1);

where mu is the mean and sigma the standard deviation.

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In R2007b, Statistics Toolbox introduced the gmdistribution class, which represents Gaussian mixture distributions. gmm = gmdistribution.fit(X,k) uses an EM algorithm to fit a Gaussian mixture model with k components to the data in matrix X. The data can then be partitioned into clusters using idx = cluster(gmm,X).

Introduction to Gaussian mixture models:

http://www.mathworks.com/help/toolbox/stats/bq_679x-24.html

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http://www.mathworks.com/help/toolbox/stats/gmdistribution.fit.html

MATLAB: Probability Density function plot

That very much depends on the PDF. For some distributions, the mean itself is necessary and sufficient (like the exponential), for others the mean and standard deviation are necessary and sufficient (the Gaussian), and for still others the distribution is not parametrized by the mean and std. If this is Gaussian, then I'll assume mu is the mean and sigma the standard deviation.

   mu = 10; sigma = 1.5;
   x = mu-(4*sigma):0.01:mu+(4*sigma);
   y = normpdf(x,mu,sigma);
   plot(x,y)

So basically you really need to know which PDF you have the first moment (mean) and second central moment (variance) of.

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