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Jeff Miller


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415 total contributions since 2013

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Answered
Generate random sequence number with condition
Here is another distributional option with a figure showing the comparison to Bruno's: %% Bruno's solution P=interp1([0 0.9 1]...

1 day ago | 0

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count of times if condition is met
put hits = 0; before the 'for' loop. You are resetting hits to 0 each time you check a new ptarget

3 days ago | 0

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Using bootstrp with matrices to bootstrap cross-correlations using xcorr?
Bootstrapping involves taking random resamples of the existing data to create datasets of the same size, but it is not exactly w...

6 days ago | 0

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How to makedisk for a three parameter weibull distribution
MATLAB's Weibull distribution only allows 2 parameters, so you must handle the offset separately. Try this: t0 = 0.5; % b ...

12 days ago | 1

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Answered
How to use fitdist or gevfit and force the GEV distribution to a specific type (Type I)
I think you want the extreme value type I or Gumbel distribution, which MATLAB seems to call the "ExtremeValue" distribution. S...

14 days ago | 0

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Answered
How should I organise data for unbalanced two factor anova analysis (anovan)
To start with, you have to make a table with 25 lines, one for each member of each group, and 4 variables for intensity plus one...

15 days ago | 1

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Answered
How to draw multiple random numbers from kernel estimated densities at once?
Can you reorganize your code so that you generate many random numbers at once from each density, store them in vectors, and then...

16 days ago | 0

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How do I fit gaussian function to data whose only information I have is the minimum, maximum and number of data points?
Mostly I agree with Alan, but I'd say that your guess for the number of standard deviations should not be a constant of 6 but sh...

16 days ago | 0

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Answered
Within Subjects Repeated Measures ANOVA - fitting a model
The first data table definitely isn't in the format that fitrm expects. Each row of the table should be a single subject from o...

18 days ago | 0

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passing a variable name to a function
You can use 'strings in parentheses' to address object and structure fields, so I think you can simply replace ev...

19 days ago | 0

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How to bootstrap estimated Gamma parameters from sample 95% confidence
Generate 1000 (say) bootstrap samples from X. For each sample, compute the parameter estimates, so in the end you have 1000 est...

20 days ago | 0

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Convolution? Kernal density? Resample? Help!
As I understand it, you could approximate your situation (to any desired degree of accuracy) using a table with 3 columns: X Y...

23 days ago | 0

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How to import workspace in a function
I don't really understand what you are trying to do, but maybe an answer to this question will help: % If I convert the functio...

27 days ago | 0

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Calculating constant hazards in exponential survival distributions
The exponential distribution is a one-parameter distribution, so all you can do is estimate that parameter. Once you have that ...

1 month ago | 0

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Answered
How to generate the convolution density and integrate it on [a,b] fastly and precisely?
If your random variables X and Y are independent, Cupid might be helpful. It defines a general convolution RV for any continuous...

1 month ago | 0

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How reliable is fitdist with regard to the gamma-distribution?
If your overall goal is to check on the accuracy of fitdist, then I think your method is flawed because the data you construct (...

1 month ago | 0

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Answered
Someone please help me, I have probability mass function as follwing, How can generate 100 random values of j from this probability mass function?
If you would like to generate 100 random j values, use the function KSSV gave you to generate the f values for the probability m...

1 month ago | 0

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Answered
How reliable is fitdist with regard to the gamma-distribution?
I think fitdist is doing the best it can, but you gave it a non-gamma sample to fit because you truncated the X range at 20. Not...

1 month ago | 1

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How to write function to generate gaussian distribution of normal numbers with specified mean, variance and number of values?
you must return something from your function: function x = distribution(va, mu, ul, ll, nvals)

1 month ago | 0

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Answered
Why the p value is so small in mann-whitney test?
I think you use ranksum like this: [p, h, stats] = ranksum (A,B) With your command, it is testing whether the A & B scores are...

1 month ago | 0

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Answered
How to generate random numbers with constraints and different boundaries (for a high dimension)?
I don't know if this will be any use to you, but here is a way to generate "random" scores that meets some of your criteria (i.e...

2 months ago | 0

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systematic random sampling from excel file
Let's say you have 537 people in your excel file, numbered 1-537. You can use the command participants = randperm(537) to rand...

2 months ago | 0

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Answered
Integrate kernel probability distribution function
If you just want to know the percentages in various ranges, it seems easier to tabulate the scores directly than to mess about w...

2 months ago | 0

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How to find 'within group correlation'?
I would guess the idea is this: grp0 = t == 0; grp1 = t == 1; corr(x(grp0,:)) corr(x(grp1,:))

2 months ago | 0

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matrix of random distribution
n = 8; % whatever n you want sd = 1; % whatever you want for the standard deviation of the normal distribution in ...

2 months ago | 1

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generate random sample for linear regression
% First you have to define the characteristics of x1, x2, and e. % These can be any values you want, such as: mu1 = 0; % M...

2 months ago | 1

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Answered
Detect collinear points in a 3d points cloud
This is going to be a pretty fuzzy suggestion: Maybe you can speed things up by temporarily throwing away precision. The idea i...

2 months ago | 0

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How can I generate Conditional Lognormal distribution
Those mu and sigma values don't look right for lognormal distributions. These distributions have only positive values, so they ...

2 months ago | 0

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Answered
log likelihood output from the distribution fitter app
Just be a bit careful here... I think those log likelihood values are likelihoods under the maximum likelihood parameter estima...

3 months ago | 0

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Finding P-Values with the Null Hypothesis Being a Coefficient Equal to 0
The easiest way is with the corr function, because the p value for the slope is the same as the p value for the correlation coef...

3 months ago | 0

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