Answered
Obtain a random number from a truncated normal distribution
You seem to be asking for something like this: pretruncMean = 0.9; pretruncSD = 1; untruncated = makedist('Normal',pretruncMe...

5 years ago | 1

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Answered
Constrain regression coefficients to be equal
Make a new variable with IndependentSum = Independent1 + Independent2; and then fit the model with Dependent~IndependentSum

5 years ago | 0

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How do I make a probability plot with data on the y axis and probability on the x axis?
Something like this: % some random data for an example nSample = 500; floodData = rand(nSample,1); % percentiles/probabili...

5 years ago | 0

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How to calculate random Correlation Pairs
Make a matrix A with one column for each voxel, and then use cormatrix = corrcoef(A) The output will be the correlations for a...

5 years ago | 0

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How to calculate a transformed distribution in Matlab?
Depending on the transformations you have in mind, you may be able to do what you want with Cupid. It's transformation distribu...

5 years ago | 1

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Chi square test: non parametric
It sounds like this is what you want: % Create some fake data to use as an example, % with 3 groups of different sizes; score...

5 years ago | 1

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Answered
fitglme error says data is not full rank, but it is.
I'm guessing: (1) your ID column is a unique identifier rather than an actual numerical predictor value, and (2) you only have o...

5 years ago | 0

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Answered
How can i speed up my nested for loops ?
You can speed this up to some degree by rearranging the order of your for loops. For example, consider: d1 = floor((n1*x/c)...

5 years ago | 0

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mvncdf - invert sum direction
(1) There is no way to get mvncdf to be larger at (6,7) than at (6,13). (2) It might be useful to you to reconceptualize X2 as ...

5 years ago | 0

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Answered
y-axis meaning using a ksdensity plot
The y-axis is scaled such that the total area under the density is 1. (area = probability with continuous distributions.) Since ...

5 years ago | 0

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Answered
How to setup a Repeated Measurements. model and then perform a Manova
tbl = readtable("libro6.xlsx"); % Remove control group control = tbl.Exp_Group == 9; tbl(control,:) = []; % Define & fit...

5 years ago | 1

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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]...

5 years 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

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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...

5 years 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 ...

5 years 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...

5 years ago | 0

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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...

5 years ago | 1

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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...

5 years 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...

5 years 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...

5 years 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...

5 years 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...

5 years 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...

5 years 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...

5 years 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 ...

5 years ago | 0

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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...

5 years 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 (...

5 years 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...

5 years 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...

5 years 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)

5 years ago | 0

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