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Class: Statsample::Factor::PCA
Principal Component Analysis (PCA) of a covariance or correlation matrix.. NOTE: Sign of second and later eigenvalues could be different using Ruby or GSL, so values for PCs and component matrix should differ, because extendmatrix and gsl’s methods to calculate eigenvectors are different. Using R is worse, cause first eigenvector could have negative values! For Principal Axis Analysis, use Statsam
Statsample: Statistic Library for Ruby
Description Statsample is a statistical library for Ruby. Has modules for descriptive and inferencial statistics. Compatible with Ruby 1.8.7, 1.9.1, 1.9.2 and ruby-head Features: Classes for Vector, Datasets (set of Vectors) and Multisets (multiple datasets with same fields and type of vectors), and multiple methods to manipulate them. Converters to and from database (using dbi), csv (standard lib
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Class: Statsample::Bivariate::Pearson
statsample - Google Groups
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Class: Statsample::CSV
