1.4.0 / 2014-10-11¶ ↑

* Replaced README.txt for README.md
* Replace File.exists? for File.exist?
+ New Dataset.join to join two dataset based on some fields
* Deleted MLE based regression (Probit and logistic). Now all GML methods are on statsample-glm

1.3.1 / 2014-06-26¶ ↑

* Example referred to a SimpleRegression class which doesn't exist. Updated to working example.
* Merge pull request #15 from Blahah/patch-1
* Updated Gemfile
* Updated README.txt for v1.3.0
* Updated to ruby 2.1.0

1.3.0 / 2013-09-19¶ ↑

* Merge remote-tracking branch 'vpereira/master' into vpereira
* New Wilcoxon Signed Rank test
* Remove TimeSeries class. Now is available on gem "bio-statsample-timeseries" [GSOC 2013 project :) ]
* Update shoulda support
* added Bundle depds
* improved the csv read method (requires tests)
* open svg on mac osx

1.2.0 / 2011-12-15¶ ↑

* Added support for time series (TimeSeries object): MA, EMA, MACD, acf, lag and delta. [Rob Britton]
* Changed summary attribute to properly display 'b' value for simple linear regression [hstove]
* Merge pull request #6 from hstove/patch-1Changed summary attribute to properly display 'b' value for simple linear regression [Claudio Bustos]
* fix example code for CovariateMatrix [James Kebinger]

1.1.0 / 2011-06-02¶ ↑

• New Statsample::Anova::Contrast

• Jacknife and bootstrap for Vector. Thanks to John Firebaugh for the idea

• Improved Statsample::Analysis API

• Updated CSV.read. Third argument is a Hash with options to CSV class

• Added restriction on Statsample::Excel#read

• Updated spanish po

• Better summary for Vector

• Improving summary of t related test (confidence interval and estimate output)

• Replaced c for vector on Statsample::Analysis examples

• Added Vector#median_absolute_deviation

• First implementation of Kolmogorov Smirnov test. Returns correct D value, but without Kolmogorov distribution isn't very useful.

1.0.1 / 2011-01-28¶ ↑

• Updated spanish po.

• Update distribution gem dependence. On Ruby 1.8.7, distribution 0.2.0 raises an error.

1.0.0 / 2011-01-27¶ ↑

• Added Statsample::Analysis, a beautiful DSL to perform fast statistical analysis using statsample. See directory /examples

• Created benchmarks directory

• Removed Distribution module from statsample and moved to a gem. Changes on code to reflect new API

• Optimized simple regression. Better library detection

• New 'should_with_gsl' to test methods with gsl. Refactored Factor::MAP

• Almost complete GSL cleanup on Vector

• Updated some doc on Vector

• Used GSL::Matrix on Factor classes when available

• SkillScaleAnalysis doesn't crash with one or more vectors with 0 variance

• Modified examples using Statsample::Analysis

• Simplified eigen calculations

• Updated some examples. Added correlation matrix speed suite

• Correlation matrix optimized. Better specs

• Optimized correlation matrix. Use gsl matrix algebra or pairwise correlations depending on empiric calculated equations. See benchmarks/correlation_matrix.rb to see implementation of calculation

• Moved tests fixtures from data to test/fixtures

• Fixed some errors on tests

• Bug fix: constant_se on binomial regression have an error

• All test should work on ruby 1.9.3

• New Vector.[] and Vector.new_scale

• Detect linearly dependent predictors on OLS.

0.18.0 / 2011-01-07¶ ↑

• New Statsample.load_excel

• New Statsample.load_csv

• Statsample::Dataset#[] accepts an array of fields and uses clone

• New Dataset#correlation_matrix and Statsample::Dataset#covariance_matrix

• Statsample::Dataset#filter add labels to vectors

• Principal Components generation complete on PCA (covariance matrix prefered)

• Added note on Statsample::Factor::PCA about erratic signs on eigenvalues,

• Statsample::Factor::PCA#component_matrix calculated different for covariance matrix

• Improved summary for PCA using covariance matrix

• New attribute :label_angle for Statsample::Graph::Boxplot

• Fixed Scatterplots scaling problems

• New attributes for Scatterplots: groups, minimum_x, minimum_y, maximum_x,

• New Statsample::Multiset#union allows to create a new dataset based on a m

• New Statsample::Multiset#each to traverse through datasets

• Bug fix: Vector#standarized and Vector#percentile crash on nil data

• Bug fix: Vector#mean and Vector#sd crash on data without valid values

• Modified methods names on Statsample::Factor::PCA : feature_vector to feature_matrix, data_transformation to principal_components

• Added Statsample::Vector#vector_centered

• Factor::MAP.with_dataset() implemented

• Bug fix: Factor::MAP with correlation matrix with non-real eigenvalues crashes * Added documentation for Graph::Histogram

• Added MPA to Reliability::MultiScaleAnalysis

• Added custom names for returned vectors and datasets

• Updated spanish traslation

• Graph::Histogram updated. Custom x and y max and min, optional normal distribution drawing

• Updated Histogram class, with several new methods compatibles with GSL::Histogram

0.17.0 / 2010-12-09¶ ↑

• Added Statsample::Graph::Histogram and Statsample::Graph::Boxplot

• Added Statsample::Reliability::SkillScaleAnalysis for analysis of skill based scales.

• Delete combination and permutation clases. Backport for ruby 1.8.7 widely available

• Deleted unused variables (thanks, ruby-head)

0.16.0 / 2010-11-13¶ ↑

• Works on ruby 1.9.2 and HEAD. Updated Rakefile and manifest

• Removed all graph based on Svg::Graph.

• First operative version of Graph with Rubyvis

• Corrected bug on Distribution::Normal.cdf.

• Added reference on references.txt

• Ruby-based random gaussian distribution generator when gsl not available

• Added population average deviation [Al Chou]

0.15.1 / 2010-10-20¶ ↑

• Statsample::Excel and Statsample::PlainText add name to vectors equal to field name

• Statsample::Dataset#delete_vector accept multiple fields.

• Statsample::Dataset#dup_only_valid allows duplication of specific fields

• ScaleAnalysis doesn't crash on one-item scales

• Updated references

0.15.0 / 2010-09-07¶ ↑

• Added class Statsample::Reliability::ICC for calculation of Intra-class correlation (Shrout & Fleiss, 1979; McGraw & Wong, 1996). Tested with SPSS and R values.

• References: Updated and standarized references on many classes. Added grab_references.rb script, to create a list of references for library

• Added Spearman-Brown prophecy on Reliability module

• Distribution::F uses Gsl when available

• Added mean r.p.b. and item sd on Scale Analysis

• Corrected bug on Vector.ary_method and example of Anova Two Way using vector.

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

0.14.0 / 2010-08-16¶ ↑

• Added Statsample::Factor::MAP, to execute Velicer's (1976) MAP to determine the number of factors to retain on EFA

• Bug fix on test suite on Ruby 1.8.7

• Horn's Parallel Analysis operational and tested for pure random data

• Fixed bug on Excel writer on Ruby1.9 (frozen string on header raises an error).

• Extra information on Factorial Analysis on summaries

• Fixed bug on Factor::Rotation when used ::Matrix without field method.

• Added Vector#vector_percentil method

• Summaries for PCA, Rotation, MultiScale and ScaleAnalysis created or improved.

• Factor::PCA could have rotation and parallel analysis on summary.

• Cronbach's alpha from covariance matrix raise an error on size<2

• MultiScaleAnalysis could have Parallel Analysis on summary.

• Added Chi Square test

• Added new information on README.txt

0.13.1 / 2010-07-03¶ ↑

• Rserve extensions for dataset and vector operational

• On x86_64, variance from gsl is not exactly equal to sum of variance-covariance on Statsample::Reliability::Scale, but in delta 1e-10

• Updated README.txt

• Reliability::ScaleAnalysis uses covariance matrix for 'if deleted' calculations to optimize memory and speed. Test for 'if deleted' statistics

• More string translated. Added dependency on tetrachoric on parallel analysis

0.13.0 / 2010-06-13¶ ↑

• Polychoric and Tetrachoric moved to gem statsample-bivariate-extension

• All classes left with summary method include Summarizable now. Every method which return localizable string is now parsed with _()

• Correct implementation of Reliability::MultiScaleAnalysis.

• Spanish translation for Mann-Whitney's U

• Added example for Mann-Whitney's U test

• Better summary for Mann-Whitney's U Test

• Added Statsample::Bivariate::Pearson class to retrieve complete analysis for r correlations

• Bug fix on DominanceAnalysis::Bootstrap

0.12.0 / 2010-06-09¶ ↑

• Modified Rakefile to remove dependencies based on C extensions. These are moved to statsample-optimization

• T test with unequal variance fixed on i686

• API Change: Renamed Reliability::ItemAnalysis and moved to independent file

• New Reliability::MultiScaleAnalysis for easy analysis of scales on a same survey, includind reliability, correlation matrix and Factor Analysis

• Updated README to reflect changes on Reliability module

• SvgGraph works with reportbuilder.

• Added methods on Polychoric based on Olsson(1979): the idea is estimate using second derivatives.

• Distribution test changed (reduced precision on 32 bits system

0.11.2 / 2010-05-05¶ ↑

• Updated dependency for 'extendedmatrix' to 0.2 (Matrix#build method)

0.11.1 / 2010-05-04¶ ↑

• Removed Matrix almost all Matrix extensions and replaced by dependency on 'extendmatrix' gem

• Added dependency to gsl >=1.12.109. Polychoric with joint method fails without this explicit dependency

0.11.0 / 2010-04-16¶ ↑

New features:

• Added Statsample::Anova::TwoWay and Statsample::Anova::TwoWayWithVectors

• Added Statsample.clone_only valid and Statsample::Dataset#clone_only_valid, for cheap copy on already clean vectors

Optimizations and bug fix

• Removed library statistics2 from package. Used gem statistics2 instead, because have a extension version

• Added example for Reliability class

• Bug fix on Statsample::DominanceAnalysis

0.10.0 / 2010-04-13¶ ↑

API modifications

• Refactoring of Statsample::Anova module.

  • Statsample::Anova::OneWay :implementation of generic ANOVA One-Way, used by Multiple Regression, for example.

  • Statsample::Anova::OneWayWithVectors: implementation of ANOVA One-Way to test differences of means.

New features

• New Statsample::Factor::Parallel Analysis, to performs Horn's 'parallel analysis' to a PCA, to adjust for sample bias on retention of components.

• New Statsample#only_valid_clone and Statsample::Dataset#clone, which allows to create shallow copys of valid vector and datasets. Used by correlation matrix methods to optimize calculations

• New module Statsample::Summarizable, which add GetText and ReportBuilder support to classes. Better summaries for Vector, Dataset, Crosstab, PrincipalAxis, PCA and Regression::Multiple classes

Optimizations and bug fix

• Refactoring of Statsample::Regression::Multiple classes. Still needs works

• Bug fix on Statsample::Factor::PCA and Statsample::Factor::PrincipalAxis

• Bug fix on Statsample::Bivariate::Polychoric.new_with_vectors. Should be defined class method, no instance method.

• Optimized correlation and covariance matrix. Only calculates the half of matrix and the other half is returned from cache

• More tests coverage. RCOV Total: 82.51% , Code: 77.83%

0.9.0 / 2010-04-04¶ ↑

• New Statsample::Test::F. Anova::OneWay subclasses it and Regression classes uses it.

0.8.2 / 2010-04-01¶ ↑

• Statsample::PromiseAfter replaced by external package DirtyMemoize [rubygems.org/gems/dirty-memoize]

0.8.1 / 2010-03-29¶ ↑

• Fixed Regression summaries

0.8.0 / 2010-03-29¶ ↑

• New Statsample::Test::T module, with classes and methods to do Student's t tests for one and two samples.

• Statsample::PromiseAfter module to set a number of variables without explicitly call the compute or iterate method

• All tests ported to MiniUnit

• Directory 'demo' renamed to 'examples'

• Bug fix on report_building on Statsample::Regression::Multiple classes

0.7.0 / 2010-03-25¶ ↑

• Ported to ReportBuilder 1.x series

• Implementation of ruby based covariance and correlation changed to a clearer code

• Statsample::Vector#svggraph_frequencies accepts IO

• Some test ported to Miniunit

• CSV on Ruby1.8 uses FasterCSV

0.6.7 / 2010-03-23¶ ↑

• Bug fix: dependency on ReportBuilder should be set to “~>0.2.0”, not “0.2”

0.6.6 / 2010-03-22¶ ↑

• Set ReportBuilder dependency to '0.2.~' version, because future API break

• Removed Alglib dependency

• Factor::PrincipalAxis and Factor::PCA reworked

• Standarization of documentation on almost every file

• New Statsample::Test::Levene, to test equality of variances

• Constant HAS_GSL replaced by Statsample.has_gsl?

• PCA and Principal Axis test based on R and SPSS results

• Bug fix on test_dataset.rb / test_saveload

• Added Rakefile

• Demos for levene, Principal Axis

0.6.5 / 2010-02-24¶ ↑

• Bug fix on test: Use tempfile instead of tempdir

• Multiple Regression: Calculation of constant standard error , using covariance matrix.

• Calculation of R^2_yx and P^2_yx for Regresion on Multiple Dependents variables

• Dominance Analysis could use Correlation or Covariance Matrix as input.

• Dominance Analysis extension to multiple dependent variables (Azen & Budescu, 2006)

• Two-step estimate of Polychoric correlation uses minimization gem, so could be executed without rb-gsl

0.6.4 / 2010-02-19¶ ↑

• Dominance Analysis and Dominance Analysis Bootstrap allows multivariate dependent analysis.

• Test suite for Dominance Analysis, using Azen and Budescu papers as references

• X^2 for polychoric correlation

0.6.3 / 2010-02-15¶ ↑

• Statsample::Bivariate::Polychoric have joint estimation.

• Some extra documentation and bug fixs

0.6.2 / 2010-02-11¶ ↑

• New Statsample::Bivariate::Polychoric. For implement: X2 and G2

• New matrix.rb, for faster development of Contingence Tables and Correlation Matrix

0.6.1 / 2010-02-08¶ ↑

• Bug fix on DominanceAnalysis summary for Ruby1.9

• Some extra documentation

0.6.0 / 2010-02-05¶ ↑

• New Statsample::Factor module. Include classes for extracting factors (Statsample::Factor::PCA and Statsample::Factor::PrincipalAxis) and rotate component matrix ( Statsample::Factor::Rotation subclasses). For now, only orthogonal rotations

• New Statsample::Dataset.crosstab_with_asignation, Statsample::Dataset#one_to_many

• New class Statsample::Permutation to produce permutations of a given array

• New class Statsample::Histogram, with same interface as GSL one

• New class Statsample::Test::UMannWhitney, to perform Mann-Whitney's U test. Gives z based and exact calculation of probability

• Improved support for ReportBuilder

• Statsample::Codification module reworked

• Fixed bugs on Dominance Analysis classes

• Fixed bugs on Statsample::Vector#kurtosis and Statsample::Vector#skew

0.5.1 / 2009-10-06¶ ↑

• New class Statsample::Bivariate::Tetrachoric, for calculation of tetrachoric correlations. See www.john-uebersax.com/stat/tetra.htm for information.

• New Statsample::Dataset#merge

• New Statsample::Vector#dichotomize

• New ItemReliability.item_difficulty_analysis

• New module Statsample::SPSS, to export information to SPSS. For now, only tetrachoric correlation matrix are provided

• All SpreadSheet based importers now accept repeated variable names and renames they on the fly

• MultipleRegression::BaseEngine moved to new file

• Bug fix for MultipleRegression::GslEngine checks for Alglib, not GSL

0.5.0 / 2009-09-26¶ ↑

• Vector now uses a Hash as a third argument

• Tested on Ruby 1.8.6, 1.8.7 and 1.9.1 with multiruby

0.4.1 / 2009-09-12¶ ↑

• More methods and usage documentation

• Logit tests

• Bug fix: rescue for requires doesn't specify LoadError

• Binomial::BaseEngine new methods: coeffs_se, coeffs, constant and constant_se

0.4.0 / 2009-09-10¶ ↑

• New Distribution module, based on statistics2.rb by Shin-ichiro HARA. Replaces all instances of GSL distributions pdf and cdf calculations for native calculation.

• New Maximum Likehood Estimation for Logit, Probit and Normal Distribution using Von Tessin(2005) algorithm. See MLE class and subclasses for more information.

• New Binomial regression subclasses (Logit and Probit), usign MLE class

• Added tests for gsl, Distribution, MLE and Logit

• Bug fix on svggraph.rb. Added check_type for scale graphics

• Bug fix on gdchart. Replaced old Nominal, Ordinal and Scale for Vector

0.3.4 / 2009-08-21¶ ↑

• Works with statsample-optimization 2.0.0

• Vector doesn't uses delegation. All methods are part of Vector

• Added Combination. Generates all combination of n elements taken r at a time

• Bivariate#prop_pearson now can uses as a second parameter :both, :left, :right, :positive or :negative

• Added LICENSE.txt

0.3.3 / 2009-08-11¶ ↑

• Added i18n support. For now, only spanish translation available

• Bug fix: Test now load libraries on ../lib path

• Excel and CSV importers automatically modify type of vector to Scale when all data are numbers or nils values

0.3.2 / 2009-08-04¶ ↑

• Added Regression::Multiple::GslEngine

• Added setup.rb

• Crosstab#row_label and column_name

• DominanceAnalysis and DominanceAnalysisBootstrap uses Dataset#labels for Vector names.

0.3.1 / 2009-08-03¶ ↑

• Name and logic of Regression classes changed. Now, you have Regression::Simple class and Regression::Multiple module with two engines: RubyEngine and AlglibEngne

• New Crosstab#summary

0.3.0 / 2009-08-02¶ ↑

• Statsample renamed to Statsample

• Optimization extension goes to another gem: ruby-statsample-optimization

0.2.0 / 2009-08-01¶ ↑

• One Way Anova on Statsample::Anova::OneWay

• Dominance Analysis!!!! The one and only reason to develop a Multiple Regression on pure ruby.

• Multiple Regression on Multiple Regression module. Pairwise (pure ruby) or MultipleRegressionPairwise and Listwise (optimized) on MultipleRegressionAlglib and

• New Dataset#to_gsl_matrix, from_to,#[..],#bootstrap,#vector_missing_values, vector_count_characters, each_with_index, collect_with_index

• New Vector#box_cox_transformation

• Module Correlation renamed to Bivariate

• Some fancy methods and classes to create Summaries

• Some documentation about Algorithm used on doc_latex

• Deleted 'distributions' extension. Ruby/GSL has all the pdf and cdf you ever need.

• Tests work without any dependency. Only nags about missing deps.

• Test for MultipleRegression, Anova, Excel, Bivariate.correlation_matrix and many others

0.1.9 / 2009-05-22¶ ↑

• Class Vector: new method vector_standarized_pop, []=, min,max

• Class Dataset: global variable $RUBY_SS_ROW stores the row number on each() and related methods. dup() with argument returns a copy of the dataset only for given fields. New methods: standarize, vector_mean, collect, verify,collect_matrix

• Module Correlation: new methods covariance, t_pearson, t_r, prop_pearson, covariance_matrix, correlation_matrix, correlation_probability_matrix

• Module SRS: New methods estimation_n0 and estimation_n

• Module Reliability: new ItemCharacteristicCurve class

• New HtmlReport class

• New experimental SPSS Class.

• Converters: Module CSV with new options. Added write() method for GGobi module

• New Mx exporter (www.vcu.edu/mx/)

• Class SimpleRegression: new methods standard error

• Added tests for regression and reliability, Vector#vector_mean, Dataset#dup (partial) and Dataset#verify

0.1.8 / 2008-12-10¶ ↑

• Added Regression and Reliability modules

• Class Vector: added methods vector_standarized, recode, inspect, ranked

• Class Dataset: added methods vector_by_calculation, vector_sum, filter_field

• Module Correlation: added methods like spearman, point biserial and tau-b

• Added tests for Vector#ranked, Vector#vector_standarized, Vector#sum_of_squared_deviation, Dataset#vector_by_calculation, Dataset#vector_sum, Dataset#filter_field and various test for Correlation module

• Added demos: item_analysis and sample_test

0.1.7 / 2008-10-1¶ ↑

• New module for codification

• …

0.1.6 / 2008-09-26¶ ↑

• New modules for SRS and stratified sampling

• Statsample::Database for read and write onto databases. You could use Database and CSV on-tandem for mass-editing and reimport of databases

0.1.5 / 2008-08-29¶ ↑

• New extension statsampleopt for optimizing some functions on Statsample submodules

• New submodules Correlation and Test

0.1.4 / 2008-08-27¶ ↑

• New extension, with cdf functions for chi-square, t, gamma and normal distributions. Based on dcdflib (www.netlib.org/random/) Also, has a function to calculate the tail for a noncentral T distribution

0.1.3 / 2008-08-22¶ ↑

• Operational versions of Vector, Dataset, Crosstab and Resample

• Read and write CSV files

• Calculate chi-square for 2 matrixes

0.1.1 - 0.1.2 / 2008-08-18¶ ↑

• Included several methods on Ruby::Type classes

• Organized dirs with sow

0.1.0 / 2008-08-12¶ ↑

• First version.