# Jeff Miller

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**Content Feed**

How to delete some of anonymous variables randomly?

One way to approach the problem is to write a function f(x) where x is a vector with 47 positions. When you call f, put numeric...

2 days ago | 0

Random Laplacian distribution in a specified interval

Here is a quick and dirty way to do this with Cupid: location = 0; % set whatever Laplacian parameters you want. scale = 1; ...

4 days ago | 0

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kstest for uniform distribution

you can test for the fit of a discrete distribution, including uniform, with chi2gof. One of the examples (about 1/3 of the way...

7 days ago | 1

| accepted

How to remove the outliers in distribution fitter

If you click on the "Exclude" button in the picture you posted, you will get the option to set lower and upper limits to exclude...

11 days ago | 1

Bootstrap multi linear model

The problem is that fitlm produces a complicated output structure and bootstrp doesn't know what to do with it. x = (1:1000)'; ...

15 days ago | 0

| accepted

How Can I simulate Data for Least-Squares Variance Component Estimation (LS-VCE) for Multiple regression?

You could use mvnrnd to generate random values of x1-x4. Is that what you need?

21 days ago | 0

How to group data for MANOVA1 analysis

84*84 is not going to work, sorry. For MANOVA, you need to have more cases in each group than the number of variables. Some pos...

29 days ago | 0

How to test if values are close togather using p-value (ttest)

A small p value means that the data are incompatible with some underlying assumption/model. For example, you could potentially ...

1 month ago | 0

Finding the minimum of a complicated function with variables and parameters

If I understand the problem correctly, then this should be close to what you want: function bestEsts = MyOuterFn(x,y) MyErrFn ...

1 month ago | 0

How to get correct p-values for the Steel-Dwass test?

The problem is with the 'inf' value given as the degrees of freedom in this line p_steelDwass(i, 1) = 1 - tcdf(t_steelDwass...

1 month ago | 0

How to calculate for significant difference between Cohen's Kappa values?

As I understand it, the fundamental question is whether tests A & B agree better than tests A & C, beyond a minor improvement th...

1 month ago | 0

fsolve doesn't find a solution when the value of the objective function is obtained through a Montecarlo simulation

I don't know if it can be done in the context of your simulation, but sometimes it is helpful to pick the "random" variables sys...

1 month ago | 0

Question

speed up integrating the same function over many overlapping intervals?

I need to compute many different integrals of the same function fn, essentially like this: Xint = size(X); for i=1:numel(X) ...

1 month ago | 2 answers | 0

### 2

answersDifferences between functions ezfit and Matlab's gamfit in fitting data to the gamma distribution?

There are two somewhat different parameterizations of the gamma distribution. In one (which I think is used by gamfit), the mean...

1 month ago | 0

How do I calculate the R^2?

Either of these: Rsqr = corr(x(:,2),y)^2; RsqrAlso = 1-(std(resids)/std(y))^2;

1 month ago | 1

I would like to find elements of a matrix that fulfill a condition but after every loop the condition is changing.

I think this will almost do what you want. edges = 0:0.05:30; [~,~,bin_numbers] = histcounts(diameters,edges); The output bin...

1 month ago | 0

| accepted

Generating a categorical array with group names

Is this what you are after? part1 = repmat({'Name1'},1055,1); part2 = repmat({'Name2'},1641,1); part3 = repmat({'Name3'},2055...

1 month ago | 0

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Forming a CDF by adding different types of PDF and generating random number

It seems like there are several different questions here. If you want to generate random numbers from a custom CDF, one simple ...

2 months ago | 2

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Calculating pdf and cdf for data extracted as a table

This command pdfwindspeed = pdf('Normal',A) returns the pdf of the A values within the standard normal with mu=0 and sigma=1. ...

2 months ago | 0

How to use one data set to find the mean of another?

NON1 = NON == 1; % this makes a boolean vector that is true for the positions where NON==1 mean(PLCm(NON1)); % this computes ...

2 months ago | 1

Question

Request for help computing convolution of random variables via fft

Inspired by the answers of @David Goodmanson to this earlier question, I have been trying to understand exactly how in general t...

2 months ago | 2 answers | 0

### 2

answersrun glmfit , why get Warning: X is ill conditioned, or the model is overparameterized

The problem is that the x1-x5 values sum to 24 in every row. This means that any one of the x's can be predicted from the rest ...

2 months ago | 0

CDF of VOn Mises distribution

The Von Mises distribution is included in Cupid. You could use it like this to calculate CDF values: >> location = 10; >> conc...

2 months ago | 0

How do I get four different answers guaranteed generated randomly from several arrays?

One way is to put the two random selections inside a while loop, check whether any meals are repeated, and then only exit the lo...

2 months ago | 0

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How to load .mat data from another folder?

You need the folder name at the beginning of the string you pass to load, maybe something like this: for iFile = 1:numel(N1) ...

2 months ago | 1

Probplot for Generalized Extreme Value distribution

Cupid includes the Frechet distribution. It doesn't have probplot function, but you can easily produce something similar: % as...

2 months ago | 0

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How to NOT share variable with nested function?

It sounds like your "big code" is a script rather than a function, but now you want to make a function out of it. I suggest you...

2 months ago | 0

How to plot confidence bounds for a theoretical cumulative distribution function?

For a given X value, the theoretical cumulative probability is p = F(X). Suppose you have a sample of N observations and you le...

2 months ago | 0

How to loop through variable names and to save them on one file?

You can use strings for variable names like this: a = 'WD__Avr'; for.... [...] x = mean(data_measured.(a)(ind_time)); % no...

3 months ago | 0

| accepted

I need a quantitative method of identification of which distribution best represents my data set

One approach is to: get the maximum likelihood parameter estimates for fitting each candidate distribution to your actual data....

3 months ago | 0