spike-triggered covariance (STC) analysis - matlab code . demonstration of

. be used in PCA. It covers standard deviation, covariance, eigenvec- . will be

This MATLAB function fits a separate line to the column vectors, x and y, for each

mean A∂ and covariance. EA(∂. ˆ. − ∂)(∂ . It is easy to check that the

Introduction to Matlab III. 16. Analysis of Covariance. The function aoctool is

May 7, 2011 . Matlab - bug with linear discriminant analysis . Error using ==> classify at 246

Aug 15, 2008 . analysis of covariance with two predictors. Programming and Web Development

Apr 22, 2004 . of MATLAB 6.5, Release 13. Topics discussed in this tutorial include: 1.

Regression given a covariance matrix (in MATLAB). manova1, One-way

Jan 4, 2010 . For zero lag this is our familiar covariance: N 1 cov0 = yi2 − y 2 ¯ N i=1. In Matlab:

This MATLAB function computes T such that SIGMA = T'*T. . Parametric

This site provides the Matlab code used for data analysis in our paper entitled, “

Estimate the cross-covariance function (equal to . . Regression given a

Plugins:Programmers can develop plugins to add entirely new data analysis and

BIOL4062/5062. Transformations; Analysis of Covariance; General Linear

Matlab program for robust linear and quadratic discriminant analysis: da.m. As

Nov 28, 2009 . Hello, I have a statistical/prediction application question I'd really like to get some

[go to energy for MATLAB]. Questions or comments on software: .

Jun 23, 2006 . The WMTSA Wavelet Toolkit for MATLAB is a software package for the analysis

place, we suggest using the matrix obtained from the sample covariance matrix

The analysis of data, looking for underlying or hidden structure, we make use of a

The Principal Component Analysis (PCA) is one of the most successful

Nov 18, 2011 . Alternatively, is there a function in MATLAB that performs the procedure? . . What

Sep 27, 2002 . The Analysis of Variance (ANOVA), Regression, Multiple Regression, and the

Oct 8, 2011 . Path Analysis is a causal modeling approach to exploring the correlations within

16.8 Analysis of Covariance Analysis of covariance (ANCOVA) is a linear model

MACM 316 Numerical Analysis I, Spring 2008, 2010, SFU.

Linear Algebra, Matrix analysis, linear equations, eigenvalues, singular values,

Here I have collected a few notes on the subject, matlab code and useful

The parenthesized term is of great importance in portfolio analysis - - enough to

analysis of covariance should do the trick. I found that 'aoctool' doesn't work

This MATLAB function performs principal components analysis on the p-by-p

(a) Scripts for eddy covariance and disjunct eddy covariance (DEC) flux

. autocorrelation analysis and lpccovar for covariance analysis.

Jan 12, 2012 . A covariance matrix for 4 variables measured on 684 female students. X anxiety

. diagonalizes the covariance matrix C: . R (programming language), MATLAB, .

Let take two linear mixtures of A and B (see the Matlab code) and plot these two

comp.soft-sys.matlab . I want to do 1- or 2-way repeated measures Analysis of

Jan 19, 2011 . Making square-root of covariance matrix positive-definite (Matlab) . . How to

Feb 25, 2011 . The following are source files for the analyses written in MATLAB, C, . tree.txt,

Matlab Software for SMT Covariance Estimation (Special version for Windows . `

What follows is a collection of Matlab modules for. the estimation of mean values

Jun 9, 2010 . I'm trying to do a non-linear or perhaps polynomial analysis of covariance (

Codes for nearest (covariance) correlation matrix problems . A short summer

Matlab Toolbox for Dimensionality Reduction (v0.7.2 - November 2010) .

Search MATLAB Documentation. R2012a Documentation → Statistics Toolbox . .

MatLab scripts for the polarization analysis. A MatLab . define start and end time

Covariance and Correlation Coefficients. MATLAB's statistical capabilities

Dec 28, 2011 . This is a blog on statistics and data analysis in MATLAB written by Kendrick.

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