Answered
Calculating Average of Principle Component Analysis (PCA) Data
Hi Zack, To calculate the average of PCA-transformed data for each group, you'll need to follow these steps: Perform PCA. Org...

10 months ago | 0

Answered
Missing data in repeated measure model
Hi Gabrielle, When using fitrm in MATLAB to fit a repeated measures model, handling missing data is an important consideration....

10 months ago | 0

Answered
how to use PCA coefficients (princomp)
Hi A, To apply Principal Component Analysis (PCA) using MATLAB's princomp (or the updated pca function), and then transform you...

10 months ago | 0

Answered
When using bootstrp, are paired variables resampled together?
Hi Macrina, In the bootstrp function in MATLAB, when you resample data that consists of paired observations (like LSAT scores a...

10 months ago | 0

Answered
how to create dataset for classification and pattern recognition (neural network)
Hi Hanem, Creating a dataset for classification and pattern recognition involves several key steps. Organize your data Prepar...

10 months ago | 0

Answered
How to perform 2-way repeated-measures Manova using RepeatedMeasuresModel?
Hi Christian, To perform a two-way repeated-measures MANOVA in MATLAB using the RepeatedMeasuresModel, you need to ensure that ...

10 months ago | 0

Answered
Manova method for repeated measures model
Hi Jan, To perform a repeated measures ANOVA with unequal sample sizes without losing data, you can consider reshaping your dat...

10 months ago | 0

Answered
How can I use a vector as a problem-dependent variable for fittype
Hi, To address the issues you're experiencing with fitting a series of experimental data sets using a custom equation in MATLAB...

10 months ago | 0

Answered
Nodes number in BSpline Matlab
Hi Bowen, To extract a specific number of uniformly spaced points from a B-spline curve generated by MATLAB's spmak and fnplt f...

10 months ago | 0

Answered
Transform points from PCA space to the original space!
Hi Najah, To transform the means of the Gaussian Mixture Model (GMM) back from the PCA-transformed space to the original featur...

10 months ago | 0

Answered
How i can talk to support of Matlab website?
Hi Saleem, If you want to contact The Mathworks support team , you can contact them via the following link : https://www.mathw...

10 months ago | 1

Answered
Cannot interpret pca results
Hi Jaime, When using Principal Component Analysis (PCA) to transform your data, it's important to understand what PCA does and ...

10 months ago | 0

Answered
how can reduce my feature in each row of matrix ?
Hi Haleh, To reduce the dimensionality of your dataset from 256 features to 39 features (and then further to 25 features), you ...

10 months ago | 0

Answered
Use a regressionGP model (from fitrgp()) to predict the gradient with uncertainty
Hi Evan, To compute the gradient of a Gaussian Process Regression (GPR) fit along with its uncertainties in MATLAB, you can fol...

10 months ago | 0

Answered
If clr is a cell array of strings, the length of clr must be equal to the length of x, y and z.
Hi Yue, The error message you're encountering indicates that the clr parameter in the gscatter3 function expects a cell array o...

10 months ago | 0

Answered
The relationship between SCORE and LOADING from PCA using princomp in MATLAB
Hi Torsionfree, When you perform PCA using MATLAB's princomp function (or its successor pca), the output score (also known as f...

10 months ago | 0

Answered
how to find principle component analysis of a woven fabric image? i need a code for this
Hi Gnanaprakash, Performing Principal Component Analysis (PCA) on images for compression involves reducing the dimensionality o...

10 months ago | 0

Answered
How to apply PCA on a cell containing matrices of images?
Hi Mahila, To apply PCA to a dataset containing multiple images, you need to convert the image data into a suitable matrix form...

10 months ago | 0

Answered
use pca to perform bss
Hi Raj, Blind Source Separation (BSS) is a technique used to separate a set of source signals from a set of mixed signals witho...

10 months ago | 0

Answered
score matrix in PCA study does not match with the scores shown on bi-plot.
Hi Manpreet, When you perform PCA using MATLAB's pca function, the score matrix contains the principal component scores for eac...

10 months ago | 0

Answered
Finding cubic spline equations by 3 data points
Hi Tatai, When using MATLAB's spline function, it creates a piecewise polynomial (pp) form to represent the cubic spline. This ...

10 months ago | 0

Answered
help needed with fraction of unexplained variance
Hi Blaise, When you perform Principal Component Analysis (PCA), you typically assess how much of the total variance in your dat...

10 months ago | 0

Answered
Should I use PCA, Factor Analysis or ICA for this problem?
Hi Arnold, To analyze which factors (e.g., S&P, Barclays, Vanguard) influence Apple's returns, you can use multiple linear regr...

10 months ago | 0

Answered
ActiveSetMethod: entropy | GPR
Hi Marius, When using Gaussian Process Regression (GPR) with a large dataset in MATLAB, you can employ the 'FitMethod', 'sd' op...

10 months ago | 1

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Answered
can fitrm handle unbalanced data (without decimating it)? if not, what alternative will still allow me to see (or even set) the response covariances?
Hi Ben, For highly unbalanced data, I recommend exploring linear mixed-effects models using fitlme in MATLAB. They provide a fl...

10 months ago | 0

Answered
I'm getting an error when I was using compute_mapping function for pca, please give me any suggestions how can I solve it?
Hi Bhawna, The error message you're encountering suggests that there's an issue with the number of arguments being passed to a ...

10 months ago | 0

Answered
repeated anova for two groups with time course data
Hi Spikes, To compare two groups subjected to repeated measures across different days using repeated measures ANOVA in MATLAB, ...

10 months ago | 0

Answered
Bicubic B-spline surface
Hi Anna, To work with splines in 3D and visualize them in MATLAB, you can use the nrbmak and nrbeval functions from the NURBS t...

10 months ago | 0

Answered
Stepwise Regression and PCA
Hi Adnan, Stepwise Regression: Stepwise regression is a method of fitting regression models in which the choice of predictive ...

10 months ago | 0

Answered
Latin hypercube sample from beta distribution
Hi Eagle To generate samples from a beta distribution using Latin Hypercube Sampling (LHS), you can use the lhsdesign function ...

10 months ago | 0