Release Name: 0.14.1
Notes:
A suite for basic and advanced statistics on Ruby. Tested on Ruby 1.8.7, 1.9.1, 1.9.2 (April, 2010) and JRuby 1.4 (Ruby 1.8.7 compatible).
Include:
* Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others).
* Imports and exports datasets from and to Excel, CSV and plain text files.
* Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and gamma. Tetrachoric and Polychoric correlation provides by +statsample-bivariate-extension+ gem.
* Anova: generic and vector-based One-way ANOVA and Two-way ANOVA
* Tests: F, T, Levene, U-Mannwhitney.
* Regression: Simple, Multiple (OLS), Probit and Logit
* Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors.
* Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it.
* Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu)
* Sample calculation related formulas
* Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+
* Creates reports on text, html and rtf, using ReportBuilder gem
Changes:
=== 0.14.1 / 2010-08-18
* Added extra information on $DEBUG=true.
* Changed ParallelAnalysis: with_random_data parameters, bootstrap_method options are data and random, resolve bug related to number of factors to preserve, resolved bug related to original eigenvalues, can support failed bootstrap of data for Tetrachoric correlation.
* Optimized eigenpairs on Matrix when GSL is available.
* Added test for parallel analysis using data bootstraping
* Updated .pot and Manifest.txt
* Added test for kmo(global and univariate), bartlett and anti-image. Kmo and Bartlett have test based on Dziuban and Shirkey with correct results
* Complete set of test to test if a correlation matrix is appropriate for factor analysis: test of sphericity, KMO and anti-image (see Dziuban and Shirkey, 1974)
* Updated Parallel Analysis to work on Principal Axis Analysis based on O'Connors formulae
* Added reference for Statsample::Factor::MAP
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