Risposto

Dimensions Reduction in Matlab using PCA

The first component explains most of the variation in the columns of DATA, but Y is not involved in that. Of course I don't unde...

Dimensions Reduction in Matlab using PCA

The first component explains most of the variation in the columns of DATA, but Y is not involved in that. Of course I don't unde...

oltre 7 anni fa | 1

| accettato

Risposto

PDF (Probability Density Function) of a 2D matrix of values

If you have your data in the matrix M and you want to ignore the zeros and the relative locations of the values, you could try ...

PDF (Probability Density Function) of a 2D matrix of values

If you have your data in the matrix M and you want to ignore the zeros and the relative locations of the values, you could try ...

oltre 7 anni fa | 1

| accettato

Risposto

How to fit a general-linear mixed-effects model with categorical variables?

Try data_nr_acquisitions.problem_type = categorical(data_nr_acquisitions.problem_type) before you do the fit.

How to fit a general-linear mixed-effects model with categorical variables?

Try data_nr_acquisitions.problem_type = categorical(data_nr_acquisitions.problem_type) before you do the fit.

oltre 7 anni fa | 0

| accettato

Risposto

What is exactly the kmeans ++ algorithm? How do you actually go about implementing it?

First off, if you look inside kmeans.m you should find an implementation of this. I'm hoping this is the kind of information ...

What is exactly the kmeans ++ algorithm? How do you actually go about implementing it?

First off, if you look inside kmeans.m you should find an implementation of this. I'm hoping this is the kind of information ...

oltre 7 anni fa | 0

Risposto

What is "Adjusted Resonse"

The adjusted response function isn't a diagnostic plot like an added variable plot, where you try to investigate or isolate the ...

What is "Adjusted Resonse"

The adjusted response function isn't a diagnostic plot like an added variable plot, where you try to investigate or isolate the ...

oltre 7 anni fa | 0

Risposto

Using every level of a categorical array in a regression

You could try using the DUMMYVAR function to generate indicator variables for each of your categories, then omit the constant te...

Using every level of a categorical array in a regression

You could try using the DUMMYVAR function to generate indicator variables for each of your categories, then omit the constant te...

oltre 7 anni fa | 0

Risposto

factoran() vs EM Algorithm FA = fa() : Understanding the difference on carbig.mat in ...toolbox\stats\statsdemos

It sounds like you want the fifth output of factoran rather than the first.

factoran() vs EM Algorithm FA = fa() : Understanding the difference on carbig.mat in ...toolbox\stats\statsdemos

It sounds like you want the fifth output of factoran rather than the first.

oltre 7 anni fa | 0

| accettato

Risposto

Rearrange DoE main effects plot

I can't think of an easy way to make the plots have a different arrangement. I'm guessing you are using rstool, is that right...

Rearrange DoE main effects plot

I can't think of an easy way to make the plots have a different arrangement. I'm guessing you are using rstool, is that right...

oltre 7 anni fa | 0

Risposto

Confusion Matrix of cross validation of an ECOC SVM classifier

The confusion matrix is one measure of classifier accuracy. You should supply the confmat function with the known labels and the...

Confusion Matrix of cross validation of an ECOC SVM classifier

The confusion matrix is one measure of classifier accuracy. You should supply the confmat function with the known labels and the...

oltre 7 anni fa | 0

Risposto

query on command "silhouette(X,clust)"

Normally if you a clustering an N-by-P matrix, CLUST will be a vector of length N that will be 1 for the points in the first clu...

query on command "silhouette(X,clust)"

Normally if you a clustering an N-by-P matrix, CLUST will be a vector of length N that will be 1 for the points in the first clu...

circa 8 anni fa | 0

Risposto

Error when evaluating clusters of a dataset

It looks like your next-to-last column, which has cluster numbers up to 9, is missing cluster 6 so it only has 8 clusters. I bel...

Error when evaluating clusters of a dataset

It looks like your next-to-last column, which has cluster numbers up to 9, is missing cluster 6 so it only has 8 clusters. I bel...

circa 8 anni fa | 1

| accettato

Risposto

boxplot vs column of strings

The simplest way to do this would depend on how you have your data stored now. For example, do you already have it as a column o...

boxplot vs column of strings

The simplest way to do this would depend on how you have your data stored now. For example, do you already have it as a column o...

circa 8 anni fa | 0

Risposto

Modifying the Parameter Estimation Method of wblfit Function

I think you should not modify wblfit, but just do it directly or write a separate function. Here's an example of how to do what ...

Modifying the Parameter Estimation Method of wblfit Function

I think you should not modify wblfit, but just do it directly or write a separate function. Here's an example of how to do what ...

circa 8 anni fa | 0

Risposto

Calculating statistical PDF and percentiles over matrices

I'm not sure this is what you want, but: a = peaks % 49x49 matrix b = bsxfun(@plus,a,5*ra...

Calculating statistical PDF and percentiles over matrices

I'm not sure this is what you want, but: a = peaks % 49x49 matrix b = bsxfun(@plus,a,5*ra...

circa 8 anni fa | 0

Risposto

Why kNNsearch and kNNclassify don't give the same result??

As I understand this, knnclassify returns a classification so result is a value from label_matrix. knnsearch just searches fo...

Why kNNsearch and kNNclassify don't give the same result??

As I understand this, knnclassify returns a classification so result is a value from label_matrix. knnsearch just searches fo...

circa 8 anni fa | 0

Risposto

How to calculate posterior probability?

Try "help gmdistribution/gmdistribution" for a function that can create an object representing this mixture distribution. There ...

How to calculate posterior probability?

Try "help gmdistribution/gmdistribution" for a function that can create an object representing this mixture distribution. There ...

circa 8 anni fa | 0

Risposto

Why am I getting redundant legend (group) icon colors when utilizing the gscatter command?

The gscatter function as a separate legend entry for each group. Your group, as given by the Legend_Nomenclature variable, is th...

Why am I getting redundant legend (group) icon colors when utilizing the gscatter command?

The gscatter function as a separate legend entry for each group. Your group, as given by the Legend_Nomenclature variable, is th...

circa 8 anni fa | 0

| accettato

Risposto

Is there a way to specify a constant using the fit() function?

The answer you got is correct, so here's how you might do it: % Get some data x = sort(10*rand(100,1)); y = 0 + 1*cos...

Is there a way to specify a constant using the fit() function?

The answer you got is correct, so here's how you might do it: % Get some data x = sort(10*rand(100,1)); y = 0 + 1*cos...

circa 8 anni fa | 0

Risposto

How to estimate the constant term in a multiple linear regression?

You write "X=a+bY+BZ" suggesting that X may be a response and Y and Z predictors. But the first input to mvregress is the predic...

How to estimate the constant term in a multiple linear regression?

You write "X=a+bY+BZ" suggesting that X may be a response and Y and Z predictors. But the first input to mvregress is the predic...

circa 8 anni fa | 0

Risposto

Simulating dependent normally distributed variables using copulas

Consider formatting your question so the code is not wrapped into the text. The syntax |ksdensity(x,xx)| computes a kernel de...

Simulating dependent normally distributed variables using copulas

Consider formatting your question so the code is not wrapped into the text. The syntax |ksdensity(x,xx)| computes a kernel de...

oltre 8 anni fa | 0

Risposto

Quasi random numbers in high dimension

The link gives ambiguous advice. The text suggests using P-1 even though the example uses P. If I try 4860, things look okay.

Quasi random numbers in high dimension

The link gives ambiguous advice. The text suggests using P-1 even though the example uses P. If I try 4860, things look okay.

oltre 8 anni fa | 0

Risposto

Is there a bug in Multidimensional Input to mhsample?

It looks like there's something that could be improved. The error message was no help. I think you want to specify a multivariat...

Is there a bug in Multidimensional Input to mhsample?

It looks like there's something that could be improved. The error message was no help. I think you want to specify a multivariat...

oltre 8 anni fa | 0

Risposto

Comparing Two Empirical CDFs

The kstest2 function can work with two samples, using their two empirical CDFs.

Comparing Two Empirical CDFs

The kstest2 function can work with two samples, using their two empirical CDFs.

oltre 8 anni fa | 0

Risposto

Decision Boundaries for kmeans clusters.

You probably didn't mean to define 1200 distinct labels. You probably didn't mean to pass into classify a first argument wit...

Decision Boundaries for kmeans clusters.

You probably didn't mean to define 1200 distinct labels. You probably didn't mean to pass into classify a first argument wit...

oltre 8 anni fa | 0

Risposto

How to define categorical within factors in fitrm?

When you create within_fact, you are defining a matrix with categories from 1 up to max(nr_cond, nr_sessions). So both columns o...

How to define categorical within factors in fitrm?

When you create within_fact, you are defining a matrix with categories from 1 up to max(nr_cond, nr_sessions). So both columns o...

oltre 8 anni fa | 2

| accettato

Risposto

I need to identify the diffetent outputs of confusionmat

The matrix is the count of actual and predicted values for each class. You can use the second output to get the class names. For...

I need to identify the diffetent outputs of confusionmat

The matrix is the count of actual and predicted values for each class. You can use the second output to get the class names. For...

oltre 8 anni fa | 1

Risposto

where is the pvalue of the model stored in fitlm or fitglm?

Try this: load hald lm = fitlm(ingredients,heat) lm.Coefficients.pValue(1)

where is the pvalue of the model stored in fitlm or fitglm?

Try this: load hald lm = fitlm(ingredients,heat) lm.Coefficients.pValue(1)

oltre 8 anni fa | 4

Risposto

Gaussian mixture model sometimes seems to fit very badly

Hi cyclist, the default starting values are selected from the data at random, and you have discovered that this sometimes does n...

Gaussian mixture model sometimes seems to fit very badly

Hi cyclist, the default starting values are selected from the data at random, and you have discovered that this sometimes does n...

oltre 8 anni fa | 1

| accettato

Risposto

How to avoid negative intermediate guess in nlmefit

If a parameter P needs to be positive, sometimes people will instead estimate a parameter logP and then use exp(logP) in place o...

How to avoid negative intermediate guess in nlmefit

If a parameter P needs to be positive, sometimes people will instead estimate a parameter logP and then use exp(logP) in place o...

oltre 8 anni fa | 0

| accettato

Risposto

Import Custom Distributions programmatically

This command shows the distributions that are available: >> makedist ans = 'beta' ... 'wei...

Import Custom Distributions programmatically

This command shows the distributions that are available: >> makedist ans = 'beta' ... 'wei...

oltre 8 anni fa | 0