Community Profile

# Tom Lane

### MathWorks

423 total contributions since 2011

Statistics and Machine Learning Toolbox developer
Professional Interests: statistics, especially reliability/survival analysis, design of experiments, anova, simultaneous inference, visualization

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Do I purchase Statistics and Machine Learning Toolbox separately from MATLAB license?
There may be other options. If the GUI author can work with you, you may be able to replace use of tdfread by a newer core MATLA...

environ un an ago | 0

Understanding the Stepwiselm PRemove
Daria, thanks for providing the data, allowing me to reproduce your results. It looks like the documentation is confusing or ...

environ un an ago | 0

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How to obtain Std of Coefficients from Curve Fitting
You can get more information when you invoke the fit command: [obj,gof,opt] = fit(...) This gives the fitted obj, goodne...

plus d'un an ago | 2

Nonlinear Regression with Errors in X and Y
If you just had y and one or more x variables as predictors, there is information about an errors-in-variables fit here: <htt...

presque 2 ans ago | 0

Kernel Density estimation with chosen bandwidth, then normalize the density function (cdf) so that integral of cdf from min to max equal to 1 ; then take the first and second derivative of the cdf
You seem to want to do a number of things including integrating and specifying a bandwidth. Maybe this will get you started. ...

presque 2 ans ago | 0

Unable to Generate Code out of Machine Learning Model
Your screen shot shows generating MATLAB code from the app. That code does training. I think you want to export a compact model ...

presque 2 ans ago | 0

How to perform stratified 10 fold cross validation for classification in MATLAB?
If you have the Statistics and Machine Learning Toolbox, consider the |cvpartition| function. It can define stratified samples.

environ 2 ans ago | 0

Conflicting results with multcompare when using the Kruskal-Wallis test on multiple groups
It's sad but true that there can be an overall difference according to one test, another test might not declare specific differe...

presque 3 ans ago | 0

Log likelihood for each distributions.
It's not clear to me what fails to match with what. These match: >> x = -5*log(rand(100,1)); >> pd = fitdist(x,'weibull'...

presque 3 ans ago | 0

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bayesian logistic regression - slicesample - finding Machine learning parameters
It looks like you have the right idea. But I suspect the calculations are underflowing. You're multiplying thousands of probabil...

environ 3 ans ago | 1

how to identify a fitglm output as being rank deficient from the resulting object
If your model is f, you could see if f.NumCoefficients > f.NumEstimatedCoefficients

plus de 3 ans ago | 0

How to calculate the correlation coefficient between an array and a matrix?
If you have the Statistics and Machine Learning Toolbox, it sounds like you want this: >> x = randn(20,3); >> y = x*[1 0...

plus de 3 ans ago | 0

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Unable to access Stats toolbox functions
The toolbox has functions anova1, anova2, anovan, and rmanova among others. It does not have functions anova or ranova. Howev...

plus de 3 ans ago | 1

plotSlice - what are the numbers below the plots?
The prediction shown at the left of the plot is the value given by the model when the predictors are set to the numbers shown be...

plus de 3 ans ago | 3

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Does stepwisefit function is able to evaluate using adjusted R-squared instead p-value?

plus de 3 ans ago | 1

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Why is fitlm (or regess) and estimation using mathematical equations giving different results?
The first two columns of coefficients have what appear to be exact zeros in row 13, corresponding to column 12 of X because of t...

plus de 3 ans ago | 0

What is the difference between the regress function and the fitlm function
Take a look at the 12th and 13th columns of X. It looks to me like the 12th may be constant or may differ by a constant from the...

plus de 3 ans ago | 0

Decision trees, only binary branches?
If you fit a classification tree to the famous Fisher iris data, you get this: >> load fisheriris >> f = fitctree(meas,s...

plus de 3 ans ago | 0

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How can I make DOE design?
Here are two ways to do it. First, specify that you have 5 factors a-e and you want a resolution 5 design. Resolution 5 means yo...

plus de 3 ans ago | 1

Separate Drawing of Gaussian Mixture Model
You did something like this: x = [randn(4000,1)/2; 5+2*randn(6000,1)]; f = fitgmdist(x,2); histogram(x,'Normalization...

plus de 3 ans ago | 2

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clustering, matlab, nominal data
For hierarchical clustering, consider using Hamming distance. Here's an example that isn't realistic but that illustrates what t...

presque 4 ans ago | 0

Why confidence interval distributions overlap the distribution?
A couple of things. First, take out your truncate statements and run the code. You'll see that the "LB" cdf is substantially bel...

presque 4 ans ago | 0

fitnlm w/ table using not all Variables
You can specify modelfun using variable names: load carsmall t = table(MPG,Weight,Origin) nlm = fitnlm(t,'MPG~b1+b2*W...

presque 4 ans ago | 0

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Dimensions Reduction in Matlab using PCA
The first component explains most of the variation in the columns of DATA, but Y is not involved in that. Of course I don't unde...

presque 4 ans ago | 1

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PDF (Probability Density Function) of a 2D matrix of values
If you have your data in the matrix M and you want to ignore the zeros and the relative locations of the values, you could try ...

presque 4 ans ago | 0

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How to fit a general-linear mixed-effects model with categorical variables?
Try data_nr_acquisitions.problem_type = categorical(data_nr_acquisitions.problem_type) before you do the fit.

presque 4 ans ago | 0

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What is exactly the kmeans ++ algorithm? How do you actually go about implementing it?
First off, if you look inside kmeans.m you should find an implementation of this. I'm hoping this is the kind of information ...

presque 4 ans ago | 0

The adjusted response function isn't a diagnostic plot like an added variable plot, where you try to investigate or isolate the ...

environ 4 ans ago | 0

Using every level of a categorical array in a regression
You could try using the DUMMYVAR function to generate indicator variables for each of your categories, then omit the constant te...

environ 4 ans ago | 0