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Jeff Miller


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Nested function in optimisation
Is this what you are trying to compute? PitchRAO = exp(PitchLogRAO);

5日 前 | 0

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Defining a parameter which depends on image luminance distribution function?
If I understand you correctly, I think you want this: L = quantile(B,0.1); if L <= 50 alpha = 0; elseif L >= 50 && L <...

8日 前 | 0

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mixed model for repeated measures
fitlme

11日 前 | 0

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How to get standard errors from copulafit
You could estimate it by taking bootstrap samples from u.

11日 前 | 0

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Help with linear mixed effects model formula
That model is appropriate if you want to assume these things (in addition to normality, independence, etc): (a) subjects diff...

13日 前 | 0

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fminsearch and simulated annealing with penalties
It depends a little on exactly what relations you want to impose, but often you can do this by mapping MATLAB's real-number para...

13日 前 | 0

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Converting R code into Matlab code
I think MATLAB has a built-in function that you can use instead of the R for loop. Try just: newSpeed= speed-mean(speed)+33.02...

17日 前 | 0

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fsolve - function with two input arguments
function b = find_b(knownX, knownA, guessForB) fun = @(b) pfun2(knownA,b) - knownX; b = fzero(fun,guessForB); end De...

23日 前 | 0

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Fit a parameter to minimise a correlation between two vectors
% Some fake data to use in testing: % Presumably you have your own values for these. nExpts = 10; C = rand(nExpts,1); V1 = r...

23日 前 | 1

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Cascading a User Definable number S Parameter objects together
Maybe this? n = input('Input number of files to be imported & cascaded:\n'); SPara= cell(1,n); for x = 1:n SPara{x} = sp...

26日 前 | 0

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Help with finding the average correlation coefficient between a matrix value and its surrounding neighbors?
A correlation isn't designed to measure the similarity between two isolated values, like your given (i,j) element and each of it...

約1ヶ月 前 | 1

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calculate a P value using a permutation test
This contribution on file exchange looks like it will do what you want.

約1ヶ月 前 | 0

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Looping through a large questionnaire set, creating new tables
I hate to say this, but it might be easiest to do a lot of the work in Excel. Note that the data in your screenshot are represe...

約2ヶ月 前 | 0

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Generate correlated random variables in a wider domain
It looks like 3.15 and 3.4 are the maximum values in the generalized extreme value and pareto distributions with the parameters ...

約2ヶ月 前 | 0

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Weibull fit to interval censored data
You can do this with Cupid. Here is an example: % Generate some truncated Weibull data just to have an example % of some data ...

2ヶ月 前 | 0

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Efficient code for obtaining the probability of X or less, when the PDF is known, but the CDF cannot be expressed precisely
Unless you have closed form or a good approximation to the CDF, it seems like your only option is to integrate the PDF with MATL...

3ヶ月 前 | 1

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Compare Betas from two different GLMS
You might compare confidence intervals. For example, the estimated value for evidence control is .62033. Compute an approximate...

3ヶ月 前 | 0

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How can I simulate data from two different distribution using Copulas?
OK, then I think you are almost there. You have the data X, Y, and rhoXY. Start by estimating the parameters for your gamma an...

3ヶ月 前 | 0

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How can I simulate data from two different distribution using Copulas?
The question is a little confusing because the U values are from 0 to 1 but the Q values aren't. Q(1,:) looks like a gamma but ...

3ヶ月 前 | 0

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seed for Monte Carlo
It sounds like you would be better off not to set the seed at all--just use MATLAB's default seed, which is different every time...

3ヶ月 前 | 0

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Running repeated anova on all elements of large matrix
If you really just want the F value, you can probably get it much faster by looking up the formulas for the one-factor within-Ss...

3ヶ月 前 | 0

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Generate column of random numbers that change slowly from row to row
You might generate the random points as you have but then smooth them with the smooth or filter function, e.g., sprob = zeros(s...

3ヶ月 前 | 0

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What the two columns represnt when i generate a multivarite normal random numbers
The two columns represent the two variables measured for each case, and the N rows represent the N randomly selected cases from ...

3ヶ月 前 | 0

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Fitting a non-linear model to my data
Take logs and use multiple regression. That is, fit the model log(y) = a log(x1) + b log(x2) etc This will give you the best ...

3ヶ月 前 | 1

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Integrating a t-test into a function how-to
Put in a breakpoint at the ttest2 line and check the inputs x and y that you are passing. These must not be what ttest2 expects...

3ヶ月 前 | 0

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Fit Gaussian mixture model with weighted observations
It's not exactly clear (to me either) what it means to weight the different observations in this context, but maybe you have som...

3ヶ月 前 | 0

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Convolution of two different pdf (uniform and normal distribution)
The Cupid toolbox will do this. For example, u = Uniform(0,100); n = Normal(100,10); % 2nd parameter is sigma, not sigma^2 c...

3ヶ月 前 | 0

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Within- & between-subjects in 'anovan'
I also found the lack of between/within terminology a bit daunting. With respect to your first question, here is an example tha...

3ヶ月 前 | 1

質問


any trick to stop fminsearch early?
I am using fminsearch to minimize an error score in fitting a model to many, many data sets. Often, the error score gets close ...

3ヶ月 前 | 2 件の回答 | 0

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How can I introduce a known autocovariance to a lognormal process
You should be able to do it by generating your sequence one element at a time, if you can't find a canned routine that will do i...

3ヶ月 前 | 0

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