Sample Of Data Matrix

Run the file main.m and everything works fine.The matrix A contains the data points and it can be changed in the file inputfile.m Platforms: Matlab

This webinar focuses on strategies and techniques for handling large amounts of data in MATLAB, including:d-deD? Understanding memory and its constraintsd-deD? Maximizing system resourcesd-deD? Minimizing your memory footprint in MATLABd-deD? Accessing memory across multiple systemsLeveraging... Platforms: Matlab

This script takes in data, and then produces a logarithmically binned (natural log) histogram: [midpoints,Freq,eFreq] =logbin(data, BinNum) where the inputs are data: the input data from some experiment which will be binned BinNum: the number of bins used in the data reduction process. The... Platforms: Matlab

Using this script, you can generate a set of data regarding Sun Azimuth Positions at various instants of time for any location on Earth. This data can be used in many applications, like, in determination of orientation of any plane's azimuth from True North.The syntax is 'sun_azimuth_data' (no... Platforms: Matlab

Return covariance matrix for given data matrix X (row = object, column = feature)% @author: Kardi Teknomo% http://people.revoledu.com/kardi/index.htmlSee the usage for Mahalanobis distance computation in http://people.revoledu.com/kardi/tutorial/...isDistance.html Platforms: Matlab

Some empirical data from a statistical process varies in its value over many decades. It is desirable to estimate the pdf of this data which requires the values to be equally divided on a log scale. It is simple and quick allowing millions of points to be processed. Platforms: Matlab

This m-file deals with the principal component solution of the factor model thru the complete data matrix, the latent root criterion, and uses the varimax factor rotation. Optionally, it also gives the residual matrix, which results of the difference between the original correlation and the... Platforms: Matlab

From a total multivariate data matrix and a significance level, the homogeneity covariance matrices are testing by the Box's M, given a Chi-square or F approximation in function of the group sample-size. Platforms: Matlab

Let the input to this function be X, an m x n matrix. Also, let Y be the output. This function does the following.Y(:,i) = X(:,i) - mean(X(:,i)), for i = 1 to n Platforms: Matlab

Permutation test of the null hypothesis that a set of data was sampled from a symmetric distribution with a particular mean. The test is based on a t-statistic and can be applied to situations in which a one sample or paired sample/repeated measures t-test is appropriate. Note, that this test is... Platforms: Matlab

This m-file deals with the iterated principal factor method (principal axis factoring) thru the R-correlation matrix (without the matrix of data), the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation. It works with an iterative solution for... Platforms: Matlab

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