Answered

How to integrate a lognormal pdf

It's hard to say for sure without seeing your xx and xxx values, but maybe it is just your expectations that are faulty? Certai...

How to integrate a lognormal pdf

It's hard to say for sure without seeing your xx and xxx values, but maybe it is just your expectations that are faulty? Certai...

10 months ago | 0

Answered

Find number of factors for factor analyses

My $0.02 worth: I would suggest running facan with nBasis=8 and checking the resulting scree plot (plot of eigenvalue as a func...

Find number of factors for factor analyses

My $0.02 worth: I would suggest running facan with nBasis=8 and checking the resulting scree plot (plot of eigenvalue as a func...

10 months ago | 0

| accepted

Answered

linear mixed-effects model (fitlme) add array variable

I'm pretty sure the predictors have to be single values, so you can't feed in an array as a single unified predictor. You could...

linear mixed-effects model (fitlme) add array variable

I'm pretty sure the predictors have to be single values, so you can't feed in an array as a single unified predictor. You could...

11 months ago | 0

Answered

Using pdf to find threshold

I'm not entirely sure what you mean by "threshold", but maybe you are trying to identify the middle 95% of the distribution? If...

Using pdf to find threshold

I'm not entirely sure what you mean by "threshold", but maybe you are trying to identify the middle 95% of the distribution? If...

11 months ago | 0

| accepted

Answered

Anova-n outputs as not full rank. Returns NaN P-value.

The short answer is that you have to collect more data to fix this. Look here: >> crosstab(gX1,gX2,gX3) ans(:,:,1) = 7 ...

Anova-n outputs as not full rank. Returns NaN P-value.

The short answer is that you have to collect more data to fix this. Look here: >> crosstab(gX1,gX2,gX3) ans(:,:,1) = 7 ...

12 months ago | 0

| accepted

Answered

problem with the anova calculation

Just change one line to this mdl = fitlm(tbl,'pick~C_t')

problem with the anova calculation

Just change one line to this mdl = fitlm(tbl,'pick~C_t')

1 year ago | 0

| accepted

Answered

Can I find likelihood function of an objective function?

A lot depends on the details of these models, but one way to proceed would be in terms of the error scores. Consider the full mo...

Can I find likelihood function of an objective function?

A lot depends on the details of these models, but one way to proceed would be in terms of the error scores. Consider the full mo...

1 year ago | 1

Answered

ANOVA result No p-value.

The problem is that the full model has 90 parameters and predicts a separate mean for each of the 3*3*10 conditions. But you onl...

ANOVA result No p-value.

The problem is that the full model has 90 parameters and predicts a separate mean for each of the 3*3*10 conditions. But you onl...

1 year ago | 0

| accepted

Answered

I am having trouble with errors in the array used for anova analysis

Looks like g1 should be a numerical vector, not a cell array (i.e., square brackets instead of curly brackets). e.g., g1 = [1,2...

I am having trouble with errors in the array used for anova analysis

Looks like g1 should be a numerical vector, not a cell array (i.e., square brackets instead of curly brackets). e.g., g1 = [1,2...

1 year ago | 0

| accepted

Answered

How to fit lognormal distribution on my data

If the scores are in vector1 and the counts are in vector 2, you could fit like this by the method of moments (should be OK with...

How to fit lognormal distribution on my data

If the scores are in vector1 and the counts are in vector 2, you could fit like this by the method of moments (should be OK with...

1 year ago | 0

| accepted

Answered

How do I display Tiled Layouts properly?

I haven't used tiled layouts yet so this may be way off-base, but something like the following has solved similar scaling proble...

How do I display Tiled Layouts properly?

I haven't used tiled layouts yet so this may be way off-base, but something like the following has solved similar scaling proble...

1 year ago | 0

Answered

How do I calculate the signal to noise ratio of a signal without knowing the noise of the signal?

I'm not sure whether this fits your situation, but one way to estimate the noise is to subtract the average of the epochs from e...

How do I calculate the signal to noise ratio of a signal without knowing the noise of the signal?

I'm not sure whether this fits your situation, but one way to estimate the noise is to subtract the average of the epochs from e...

1 year ago | 1

| accepted

Answered

Poisson PMF using MATLAB

This might get you started... k = 0:17; pmf = poisspdf(k,4); figure; plot(k,pmf,'o-')

Poisson PMF using MATLAB

This might get you started... k = 0:17; pmf = poisspdf(k,4); figure; plot(k,pmf,'o-')

1 year ago | 0

| accepted

Answered

May I ask how I can find 95% confidence interval of skew_FP() from these codes?

LBUB = prctile(skew_FP(),[2.5,97.5]);

May I ask how I can find 95% confidence interval of skew_FP() from these codes?

LBUB = prctile(skew_FP(),[2.5,97.5]);

1 year ago | 0

| accepted

Answered

Using a specific number of digits

Maybe by "report k" you are referring to printing it, in which case this should work for k=1:100 fprintf('%03d\n',k) end

Using a specific number of digits

Maybe by "report k" you are referring to printing it, in which case this should work for k=1:100 fprintf('%03d\n',k) end

1 year ago | 0

Answered

How to computing confidence bounds of the regression model using the bootstrap method

I'm assuming that your figure shows t on the horizontal axis and y on the vertical. The problem is that bootci is giving you co...

How to computing confidence bounds of the regression model using the bootstrap method

I'm assuming that your figure shows t on the horizontal axis and y on the vertical. The problem is that bootci is giving you co...

1 year ago | 0

| accepted

Answered

How do I update an inherited property in both the SuperClass and SubClass simultaneously in real time?

The superclass/subclass relationship is a little different than you think. When you make SUP and SUB, these are completely diff...

How do I update an inherited property in both the SuperClass and SubClass simultaneously in real time?

The superclass/subclass relationship is a little different than you think. When you make SUP and SUB, these are completely diff...

1 year ago | 0

| accepted

Answered

Anova analysis with blocking

You can do this with fitlm as long as you want to test for the effect(s) of interest within a standard linear RCBD model. The h...

Anova analysis with blocking

You can do this with fitlm as long as you want to test for the effect(s) of interest within a standard linear RCBD model. The h...

1 year ago | 0

| accepted

Answered

Question about "gamcdf" code

To get the 75th percentile value, you need to use gaminv() rather than gamcdf. Also, the shape parameter comes first and scale ...

Question about "gamcdf" code

To get the 75th percentile value, you need to use gaminv() rather than gamcdf. Also, the shape parameter comes first and scale ...

1 year ago | 0

| accepted

Answered

How to use num2str inside text with latex interpreter?

I think you need square brackets like this to assemble all the characters into a single string text(4,5,['$L_{',num2str(i),'}$'...

How to use num2str inside text with latex interpreter?

I think you need square brackets like this to assemble all the characters into a single string text(4,5,['$L_{',num2str(i),'}$'...

1 year ago | 2

Answered

ttest2 doubt in the results between 2 different groups

The implication of the t-test result is that the difference (even though it looks big to you) could well have arisen by chance e...

ttest2 doubt in the results between 2 different groups

The implication of the t-test result is that the difference (even though it looks big to you) could well have arisen by chance e...

1 year ago | 0

| accepted

Answered

Alternative to Eval for small number of variables

Put your workspace variables in a struct and then use var_names to access the fields of that struct, something like this: wrkst...

Alternative to Eval for small number of variables

Put your workspace variables in a struct and then use var_names to access the fields of that struct, something like this: wrkst...

1 year ago | 0

Answered

if I set model as 'linear' in 'anovan', is 'anovan' equivalent to applying respectively 'anova1' to the factors?

no, those are not equivalent, as you should be able to verify by applying them both to the same dataset. With its default 'linea...

if I set model as 'linear' in 'anovan', is 'anovan' equivalent to applying respectively 'anova1' to the factors?

no, those are not equivalent, as you should be able to verify by applying them both to the same dataset. With its default 'linea...

1 year ago | 0

Answered

Plot a cumulative distribution with a symmetric logarithmic scale centred at 50%

Not sure if I really understand what you want but maybe something like this: z_app = norminv(cdf_app); % find the normal Z sco...

Plot a cumulative distribution with a symmetric logarithmic scale centred at 50%

Not sure if I really understand what you want but maybe something like this: z_app = norminv(cdf_app); % find the normal Z sco...

1 year ago | 1

| accepted

Answered

Error when using: parmHat = wblfit(x)

The problem is that your x vector has some nan's in it, and wblfit can't handle those. Try y = x(~isnan(x)); parmHat = wblfit...

Error when using: parmHat = wblfit(x)

The problem is that your x vector has some nan's in it, and wblfit can't handle those. Try y = x(~isnan(x)); parmHat = wblfit...

1 year ago | 1

Answered

How do we modify the tails of norrmal/any kind of distribution by keeping other portion is same?

As Paul says, the details are important because there are infinitely many ways to do what you are asking. One way to think abou...

How do we modify the tails of norrmal/any kind of distribution by keeping other portion is same?

As Paul says, the details are important because there are infinitely many ways to do what you are asking. One way to think abou...

1 year ago | 2

Answered

How to avoid duplicating code in the constructor and a reset method of a class with class inheritance.

This is presumably an issue only because you sometimes create objects of the type MySuperClass--not just descendant MyClass obje...

How to avoid duplicating code in the constructor and a reset method of a class with class inheritance.

This is presumably an issue only because you sometimes create objects of the type MySuperClass--not just descendant MyClass obje...

1 year ago | 0

Answered

Estimate ksdensity values for large number of data points, e.g. 100000 values

It is a common mistake to think that PDF values should be less than 1. Actually, PDFs are defined in such a way that the area un...

Estimate ksdensity values for large number of data points, e.g. 100000 values

It is a common mistake to think that PDF values should be less than 1. Actually, PDFs are defined in such a way that the area un...

1 year ago | 1

| accepted

Answered

Generation of large data sets (10^4) for log Pearson type III distribution and finding its paramters

If the distribution you have in mind is the same one described here then this is a good problem for Cupid (see especially the fi...

Generation of large data sets (10^4) for log Pearson type III distribution and finding its paramters

If the distribution you have in mind is the same one described here then this is a good problem for Cupid (see especially the fi...

1 year ago | 0

| accepted

Answered

Fundamental proof of signal averaging noise reduction

Your code doesn't really measure noise reduction in the right way. Noise reduction refers to variability across many repeated m...

Fundamental proof of signal averaging noise reduction

Your code doesn't really measure noise reduction in the right way. Noise reduction refers to variability across many repeated m...

1 year ago | 0

| accepted