Answered

generating correlated random variables

Generate C1-C6 separately (independently) from whatever lognormal you want. Then generate C7-C8 as a pair with the desired corr...

generating correlated random variables

Generate C1-C6 separately (independently) from whatever lognormal you want. Then generate C7-C8 as a pair with the desired corr...

6 jours ago | 0

Answered

Stop signal task - pre error speeding

I think it would be cleanest to start by making a vector to indicate which trials precede unsuccessful stops, which can be done ...

Stop signal task - pre error speeding

I think it would be cleanest to start by making a vector to indicate which trials precede unsuccessful stops, which can be done ...

15 jours ago | 0

| accepted

Answered

How to make Anova table for data from a factorial experiment

x = readtable('mack_data.txt'); x.Properties.VariableNames = {'o1','o2','o3','o4','o5','m1','m2','m3','m4','m5'}; withinDesign...

How to make Anova table for data from a factorial experiment

x = readtable('mack_data.txt'); x.Properties.VariableNames = {'o1','o2','o3','o4','o5','m1','m2','m3','m4','m5'}; withinDesign...

18 jours ago | 1

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Answered

How to create a cumulative frequency array

This is inelegant, but it works: cumFreq = zeros(size(V)); for i=1:numel(V) cumFreq(i) = sum(Z<V(i)); end

How to create a cumulative frequency array

This is inelegant, but it works: cumFreq = zeros(size(V)); for i=1:numel(V) cumFreq(i) = sum(Z<V(i)); end

18 jours ago | 1

| accepted

Answered

Define a density function and draw N samples of it

I don't think that density function is right--seems like you at least need to include the mixture probabilities in there--e.g., ...

Define a density function and draw N samples of it

I don't think that density function is right--seems like you at least need to include the mixture probabilities in there--e.g., ...

20 jours ago | 0

Answered

Function to create struct with parameters

Maybe you would like something like this? month = 1; year = 1951; day = 11; inp = CreateStruct(month,day,year) function o...

Function to create struct with parameters

Maybe you would like something like this? month = 1; year = 1951; day = 11; inp = CreateStruct(month,day,year) function o...

20 jours ago | 0

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Answered

How do I declare correlation between a random variable with beta distribution and a random variable with normal distribution?

Something like this would work, though you would have to adjust rho by trial and error to get the final corr(x1,x2) value that y...

How do I declare correlation between a random variable with beta distribution and a random variable with normal distribution?

Something like this would work, though you would have to adjust rho by trial and error to get the final corr(x1,x2) value that y...

23 jours ago | 0

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Answered

Extract columns into new variables efficently

A= [1 1 2 2 3 3 1 1 2 2 3 3; 1 1 2 2 3 3 1 1 2 2 3 3]; B = [10 20 30 40 50 60 70 80 90 100 110 120; 1 2 3 4 5 6 7 8 9 10 11 12]...

Extract columns into new variables efficently

A= [1 1 2 2 3 3 1 1 2 2 3 3; 1 1 2 2 3 3 1 1 2 2 3 3]; B = [10 20 30 40 50 60 70 80 90 100 110 120; 1 2 3 4 5 6 7 8 9 10 11 12]...

25 jours ago | 0

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Answered

Random numbers with specific sum and varying maximum

How about first picking the maximum "thismax" randomly from whatever distribution you want, and then using randfixedsum to gener...

Random numbers with specific sum and varying maximum

How about first picking the maximum "thismax" randomly from whatever distribution you want, and then using randfixedsum to gener...

environ un mois ago | 0

Answered

Using ranova and multcompare, ranova doen't show significance (p=0.33) but multcompare shows significance between groups (p<0.001)

Note that your anova table doesn't have enough lines--there is no main effect of IndVar, just the IndVar*Time interaction (p=0.3...

Using ranova and multcompare, ranova doen't show significance (p=0.33) but multcompare shows significance between groups (p<0.001)

Note that your anova table doesn't have enough lines--there is no main effect of IndVar, just the IndVar*Time interaction (p=0.3...

environ un mois ago | 0

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Answered

How may I show a mixture distribution?

Here is an example of plotting a mixture that produces a graph similar to yours example: pd1 = makedist('normal',1,1); % proba...

How may I show a mixture distribution?

Here is an example of plotting a mixture that produces a graph similar to yours example: pd1 = makedist('normal',1,1); % proba...

environ un mois ago | 0

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Answered

How to design a Class to apply operations for a collection of data?

This is perhaps a bit subjective, but personally I would strongly prefer the solution with classes that process only a single au...

How to design a Class to apply operations for a collection of data?

This is perhaps a bit subjective, but personally I would strongly prefer the solution with classes that process only a single au...

environ un mois ago | 0

| accepted

Answered

histogram normalization not working

The histogram is not wrong, because pdf values can be more than 1. pdf values are normalized such that the total area under the...

histogram normalization not working

The histogram is not wrong, because pdf values can be more than 1. pdf values are normalized such that the total area under the...

environ un mois ago | 0

Answered

Equal Bin Sizes in Histogram Probability Distribution Function (PDF)

The histogram function has a parameter 'BinEdges' that will allow you to specify any bins you like. So, make whatever bin edges...

Equal Bin Sizes in Histogram Probability Distribution Function (PDF)

The histogram function has a parameter 'BinEdges' that will allow you to specify any bins you like. So, make whatever bin edges...

environ un mois ago | 1

Answered

Minimization of Chi-Square Statistic using the Simplex Algorithm

One way to proceed is to write a function which accepts a vector of values for your three parameters, and returns the chi-square...

Minimization of Chi-Square Statistic using the Simplex Algorithm

One way to proceed is to write a function which accepts a vector of values for your three parameters, and returns the chi-square...

environ un mois ago | 0

Answered

How to generate correlated samples from a single distribution? Each sample should be correlated with the previous.

If you don't like the sorting solution, then I think you must consider the joint and conditional distribution of two successive ...

How to generate correlated samples from a single distribution? Each sample should be correlated with the previous.

If you don't like the sorting solution, then I think you must consider the joint and conditional distribution of two successive ...

environ 2 mois ago | 0

| accepted

Answered

Inverse Cumulative distribution function

Suppose you have a function called thisCDF which computes the CDF for your distribution. Then define function x = inverseF(p) ...

Inverse Cumulative distribution function

Suppose you have a function called thisCDF which computes the CDF for your distribution. Then define function x = inverseF(p) ...

environ 2 mois ago | 0

| accepted

Answered

How to generate correlated samples from a single distribution? Each sample should be correlated with the previous.

If you don't care about the order of the data points, one option that seems to fulfill your stated requirements is the following...

How to generate correlated samples from a single distribution? Each sample should be correlated with the previous.

If you don't care about the order of the data points, one option that seems to fulfill your stated requirements is the following...

environ 2 mois ago | 0

Answered

I want this for loop to dispaly the smallest calculated value of PE. What would be the best way of going about this?

% something like this: minPE = realmax; for t1 = 0:1:90,t2 = 0:1:90; t1; t2; h1 = -b1*cosd(t1); ...

I want this for loop to dispaly the smallest calculated value of PE. What would be the best way of going about this?

% something like this: minPE = realmax; for t1 = 0:1:90,t2 = 0:1:90; t1; t2; h1 = -b1*cosd(t1); ...

environ 2 mois ago | 0

Answered

Normally distributed Random numbers generator issue

As the other posters have said, you aren't necessarily going to get an exactly normal-looking distribution if you generate the n...

Normally distributed Random numbers generator issue

As the other posters have said, you aren't necessarily going to get an exactly normal-looking distribution if you generate the n...

environ 2 mois ago | 0

Answered

Repeated-Measures ANOVA across several conditions rather than timepoints

fitrm wants all the data for a single subject to be on a single row of the data table. In your case, that would mean a table ne...

Repeated-Measures ANOVA across several conditions rather than timepoints

fitrm wants all the data for a single subject to be on a single row of the data table. In your case, that would mean a table ne...

environ 2 mois ago | 0

| accepted

Answered

Converting a weibull figure to a histogram

histogram takes a list of data values (your x's) and tabulates how often each occurs. if you don't already have data values, yo...

Converting a weibull figure to a histogram

histogram takes a list of data values (your x's) and tabulates how often each occurs. if you don't already have data values, yo...

environ 2 mois ago | 0

| accepted

Answered

How to fit a dataset with two independant variables (of different dimensions) and one dependant variable?

You need give nlinfit the corresponding 60 values of t and T. Something like this (but check the order of the resulting 60 poin...

How to fit a dataset with two independant variables (of different dimensions) and one dependant variable?

You need give nlinfit the corresponding 60 values of t and T. Something like this (but check the order of the resulting 60 poin...

2 mois ago | 0

Answered

How can I get two-tailed inverse of the student's t-distribution?

Not sure if this is really what you want, but in MATLAB: a=tinv(1-(1-.9973)/2,10-1) a = 4.0942

How can I get two-tailed inverse of the student's t-distribution?

Not sure if this is really what you want, but in MATLAB: a=tinv(1-(1-.9973)/2,10-1) a = 4.0942

2 mois ago | 1

| accepted

Answered

How to stop figure windows from popping up when there is no data to plot.

The commands f1=figure('Name','Figure x'); f2=figure('Name','Figure y'); make the two windows pop up, so you must change your...

How to stop figure windows from popping up when there is no data to plot.

The commands f1=figure('Name','Figure x'); f2=figure('Name','Figure y'); make the two windows pop up, so you must change your...

2 mois ago | 1

| accepted

Answered

How to calculate the confidence interval from distributions overlap

I wouldn't call this a confidence interval either, but I think you can compute the shaded area probability like this: % Values ...

How to calculate the confidence interval from distributions overlap

I wouldn't call this a confidence interval either, but I think you can compute the shaded area probability like this: % Values ...

2 mois ago | 0

Answered

probability density function normalization

The pdf values are defined so that the total area under the pdf curve equals 1, but these values will exceed 1 (and, hence, not ...

probability density function normalization

The pdf values are defined so that the total area under the pdf curve equals 1, but these values will exceed 1 (and, hence, not ...

2 mois ago | 0

| accepted

Answered

Generate random numbers without repetition according to a probability distribution

I assume you mean a discrete distribution since the probability of repetition is zero in a continuous one. In that case, the ea...

Generate random numbers without repetition according to a probability distribution

I assume you mean a discrete distribution since the probability of repetition is zero in a continuous one. In that case, the ea...

2 mois ago | 0

Answered

How can I evaluate characteristic functions in MatLab?

It seems like your question contains its own answer: mu = 1; sigma = 1; t = -2.5:0.01:2.5; cf = exp(i*mu*t - sigma^2*t.^2/2)...

How can I evaluate characteristic functions in MatLab?

It seems like your question contains its own answer: mu = 1; sigma = 1; t = -2.5:0.01:2.5; cf = exp(i*mu*t - sigma^2*t.^2/2)...

2 mois ago | 1

Answered

How to perform 1way-ANOVA with matrices

manova might be a better approach, since it allows you to combine information from all three variables (x,y,z) into a single tes...

How to perform 1way-ANOVA with matrices

manova might be a better approach, since it allows you to combine information from all three variables (x,y,z) into a single tes...

2 mois ago | 1

| accepted