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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, ...

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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...

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

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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 ...

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PCA Help
Hi Zubair, Your approach to using PCA to compare two datasets is on the right track. However, there are a few things to conside...

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Pros and Cons of PCA feature Selection vs Single Valued Features Like, Mean, Standard Variation
Hi Arbab, Selecting between Principal Component Analysis (PCA) and single-valued features (i.e., individual features selected b...

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Other way or suggestion to build Bezier surface
Hi Malina, 1) Building a Bézier Surface in MATLAB: If you don't have built-in functions for Bézier surfaces in your version of...

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How can we implement PCA for array of 512 feature maps of size 39*39 to get an output of array of x feature maps of size 39*39, where x is dimension desired after applying PCA.
Hi Shubham, To apply PCA to a 3D matrix of feature maps without flattening them, you'll need to treat each 39x39 feature map as...

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How can we find the angle or orientation of the 1st Principal Component
Hi Nabin, To calculate the angle of the first principal component after performing PCA on a set of 2D coordinates, you can foll...

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Which algorithm type does rowexch use?
Hi Tobias, The 'rowexch' function in MATLAB is used for generating D-optimal designs, which are a type of experimental design. ...

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How do I use the entropy-based selection of samples with fitrgp correctly?
Hi Janine, The fitrgp function in MATLAB is used to fit Gaussian Process Regression (GPR) models. When dealing with large datas...

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PCA, svd, compare two groups.
Hi Sas, Yes, your approach makes sense and is a common method for projecting new data onto the principal component space derive...

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comparing results of PCA and NNMF - what percentage of the original data's variance is retained?
Hi Blaise, To compare the results of Principal Component Analysis (PCA) and Non-negative Matrix Factorization (NNMF) in terms o...

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Why is PCA returning only one component when I have 50 variables?
Hi Kim, When performing PCA in MATLAB, you should expect the coeff matrix to contain as many columns as there are variables in ...

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PCA using Matlab, SPSS
Hi Amrutha, When comparing PCA results between MATLAB and SPSS, there are several factors that can lead to differences in the p...

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Correlation among time scaled data with variable size
Hi Aneesh, Exploiting correlation among time-scaled data with variable sizes can be challenging, especially when dealing with t...

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Error with fitrm - error using setdiffR2012a
Hi Irene, The error you're encountering when using the fitrm function in MATLAB is likely due to a mismatch in the expected inp...

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How can I weight my observations for a MANOVA analysis
Hi Emmanuel, Performing a MANOVA (Multivariate Analysis of Variance) with weighted observations directly using MATLAB's manova1...

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how to resolve the error
Hi Ajith, The error you're encountering is due to memory limitations when trying to perform Singular Value Decomposition (SVD) ...

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Why I'm getting different result while performing PCA with pca and princomp?
Hi Hitesh, I understand that you are facing issues with PCA and PRINCOMP. Use pca: It is the recommended method for PCA in MAT...

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Calculating the statistical efficiency in % of an experimental design
Hi Tobias, To calculate the statistical efficiency of a D-optimal design, you need to compare the determinant of the informatio...

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2-way repeated measures MANOVA
Hi Arran , Running a two-way repeated measures ANOVA on motion tracking data with multiple conditions and participants can be c...

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Display Fisherface after reducing dimensions using PCA
Hi Rayne, The Fisherface algorithm involves two main steps: applying Principal Component Analysis (PCA) to reduce dimensionalit...

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Inputs for chi-squared test
Hi Marta, To test whether the distributions of responses from two different patient groups are the same, you can use a chi-squa...

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Reducing a dataset's dimensions with PCA and projecting it onto a graph.
Hi Alasdair, Your approach to using PCA to reduce the dimensions of your dataset and project it onto a 2D plane is mostly corre...

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design repeated measurements model
Hi Dominik, To analyze the differences between the "Placebo" and "Control" groups on the second day using repeated measures ANO...

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RGB to PCA transformation
Hi Hamed, To convert an RGB image to grayscale using PCA in MATLAB, you can follow these steps. The idea is to apply PCA to the...

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Why is the design matrix different when using x2fx as opposed to the output of cordexch?
Hi Lukas, The issue you're encountering stems from the way the cordexch function handles multiple tries when generating a D-opt...

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Manova for repeated measures
Hi Leonardo, When dealing with repeated measures MANOVA in MATLAB, it's important to ensure that the model specification correc...

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I am trying to model a poisson process. When I histogram the inter-event times, the distribution is exponential. I want to prove that the simulation is Poissonian. How can I calculate the Fano-factor?I have a list of waiting times and spiketimes.
Hi Phil, I understand that you are trying to calculate the fano factor . The following script might help you doing the same : ...

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