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How can i understand the within and between model factors of a mixed model ANOVA

Yes, this is something that can be accounted for using withinDesign. See https://au.mathworks.com/matlabcentral/answers/467222-...

1 month ago | 0

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Inverse of a mixture distribution of two lognormal functions

Unfortunately, your method below won't retrieve the Cr values correctly except in the special case where the two distributions i...

1 month ago | 1

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Using bootstrp for t-values

It depends on whether you want it to be possible that the "one randomly sampled value" is also present within the random sample ...

2 months ago | 0

Find the two most commonly occurring values in a multimodal distribution of numbers.

It would be more informative to see a histogram of your y values since they aren't related to x per se. If that histogram looks...

3 months ago | 0

ANOVA for linear mixed-effects models produces misleading main effects

One common approach in this situation is to rescore x to shift the intercept to a value that you do care about--usually the mean...

3 months ago | 1

Alphabet T and L are overlapping in some of the trials in this code for Psychtoolbox. How to resolve this issue ?

I think you have a lot more randomization and complexity than you need. For example, it doesn't matter what order you draw the ...

3 months ago | 0

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ANOVA for linear mixed-effects models produces misleading main effects

In addition to what @the cyclist said, here is another way to look at it: "I always assumed that the stats for the main effect ...

3 months ago | 1

fit a log 'raised cosine' distribution on univariate data in matlab

I think the problem is here: y = lograisedcosinepdf(x,mu,s); Since you are plotting xgrid versus y, I think you want y = logr...

3 months ago | 0

Three-way repeated-measures ANOVA with no between-factor

It sounds like you are almost there but this isn't right: "given filtered searches for each factor (e.g., data(:, strcmp(gender,...

4 months ago | 1

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Non parametric N-way analysis of variance

No, there isn't one. This isn't actually a Matlab limitation, but rather a statistical one, because there simply isn't a clear ...

4 months ago | 0

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Save a variable during parfor loop

Maybe break up your computations into segments, run the parfor within each segment, and save the results at the of each segment,...

4 months ago | 1

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Linear regression on data with asymmetric measurement error

If you have separate measures of the lower and upper directional error associated with each X value (either empirical or derived...

6 months ago | 0

Compute conditional mean from distribution

Another approach: pd = makedist('Lognormal', 5, 0.5); lb = icdf(pd,0.01); % find scores at 1% and 5% ub = icdf(pd,0.05); td...

6 months ago | 0

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Error in generalized linear mixed-effects model with poisson distribution.

I haven't used Poisson models myself, but I thought they required the values of the dependent variable to be non-negative intege...

7 months ago | 0

F values come out as Infinity using the anovan function

The underlying problem is that the d.f. for error is 0, which is responsible for the 0 MS error. In essence, there are not enou...

7 months ago | 0

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How to Calculate the Effect Size at p=.05

You can get an answer by computing a confidence interval for the Cohen's d. Specifically, at p=0.05, one end of the confidence ...

7 months ago | 0

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How to locate 'Cupid-master' path on my system

I think Cupid-master is just a folder name that others have used when they installed the files, and you can just addpath to your...

7 months ago | 1

| accepted

How to extract 3 Weibull parameters obtained using method of moments

parms = weib.ParmValues; % this function reports back the current parameter values of the weib distribution.

8 months ago | 1

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Compute group statistics when the group definition is an OR of values found in several columns of a table

Maybe reformat the table with stack: T=table([1 1 2 3 3 4]',{'John','Bob','Emma','Emma','Bob','Bob'}', ... {'Emma','','Bob...

8 months ago | 0

Writing Matlab Table to File

Try this: str = formattedDisplayText(S); str = erase(str,"<strong>"); str = erase(str,"</strong>"); fprintf(file,"%s",str); ...

8 months ago | 0

parfor variable classification issue revisited

Maybe something like this would be helpful, using the wonderful allcomb. idx = allcomb(1:5,1:6,1:7,1:8,1:9); nrows = size(idx,...

9 months ago | 0

Create .mat file which appends a variable each time a function is executed

Maybe you can use the function 'matfile' to do what you want. Here is a little example: % This is part of the main program / s...

9 months ago | 0

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Why are pool workers going inactive while many iterations remain?

What you would like is for any free processor to take up any waiting task (me too), but for some reason that's not how it works....

10 months ago | 0

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How to generate a Frechet distribution using Methods of Moments?

Here is how you might do it if with Cupid : %% Example for the 2-parameter Frechet distribution (minimum known to be 0) % M...

10 months ago | 0

How can I calculate True positive, False positive, True negative and False negative of real and predicted dataset?

First you need to map your 3 values 1-3 onto just two categories: positive and negative. For example, you might decide to call ...

10 months ago | 0

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Linear Regression with Only Dependent Variables

It sounds like you can get what you want from simply [rho, pval] = corr(matrixA(:,1),matrixB(:,1)) fitlm is for situations wit...

11 months ago | 1

| accepted

How to use chi2gof within CUPID

Yes, that is correct. The successive bin probabilities are the differences of the successive CDF values, and the expected numbe...

11 months ago | 1

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Goodness-of-Fit for a best-fitting distribution? (by using CUPID)

There are lots of different ways to evaluate the goodness of fit of a given theoretical distribution to a dataset (see, e.g., wi...

11 months ago | 1

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Fit a statistical distribution to truncated data

If you would like to fit a variety of truncated distributions in addition to the normal, you might find Cupid helpful. For inst...

11 months ago | 2

| accepted

Fit parameter to Weibull distribution

The problem is a bad choice of starting values. You will get much better parameter estimates with params = mle(A,'pdf',customp...

12 months ago | 0

| accepted