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Open Source Edition (Free)


Fully featured analytical workbench that provides :

  • An intuitive graphical user interface, attractive interactive output for hundreds of frequently used exploratory analysis, data preparation, visualization, basic and advanced modeling techniques including model scoring.
  • Automatic R syntax generation for hundreds of frequently used exploratory analysis, data preparation, visualization and modeling techniques.
  • R syntax editor that allows you to write and execute R code and see richly formatted output.
  • Save and share output in PDF, HTML.
  • Technical support is available via community forums.
License : AGPL 3.0
Commercial Edition (Annual and perpetual license, see pricing)

1. BlueSky Statistics Commercial Desktop:
The BlueSky Statistics Commercial Desktop provides all the capabilities of the open source edition plus:
  • Enterprise features including advanced statistical capabilities and features to improve productivity and efficiency
  • Fully supported with dedicated technical support contact
  • Prioritized bug fixes and feature requests
  • End user training
  • Training on the development framework for extensibility (custom dialogs)
  • Service Level Agreements for delivering application support and hot fixes for critical issues
2. BlueSky Statistics Commercial Server:
The BlueSky Statistics Commercial Server provides all the capabilities of the open source edition plus:
  • Support for Citrix and Terminal server
  • Access to priority support, 24 hr response time during business hours
  • Service Level Agreements for delivering application support and hot fixes for critical issues
  • Prioritized feature requests



List of all dialogs in BlueSky Statistics v10



Open Source
Commercial Edition
Run on terminal server
X

✔
Install unlimited dialogs/extensions
X

✔
Technical support
X

✔
Enterprise features (Database and customization etc.)
X

✔


Category Sub Category Description Open Source Commercial
Data Management Open Dataset IBM SPSS (*.sav) ✔ ✔


Excel 2003 ✔ ✔


Excel 2007-2010 ✔ ✔


Comma separated (*.csv) ✔ ✔


DBF (*.DBF) ✔ ✔


SAS (*.sas7bdat) ✔ ✔


DAT (*.DAT) ✔ ✔


Txt (*.txt) ✔ ✔






Load Data From R package ✔ ✔






Database Connectivity MSSQL ✔ ✔


PostgreSQL ✔ ✔


MySQL ✔ ✔


MS-Access ✔ ✔






Dataset Save formats IBM SPSS (*.sav) ✔ ✔


Excel 2007-2010 ✔ ✔


Comma separated (*.CSV) ✔ ✔


DBF (*.DBF) ✔ ✔


RObj (*.RData) ✔ ✔





Data Preparation
Fully functional data grid ✔ ✔

For Variables Binning ✔ ✔


Compute ✔ ✔


Compute, apply a function across all rows ✔ ✔


Compute Dummy Variables ✔ ✔


Conditional Compute ✔ ✔


Conditional Compute, if-then ✔ ✔


Conditional Compute, if-then-else ✔ ✔


Compute with Switch ✔ ✔


Concatenate multiple variabels ✔ ✔


Convert to Factors ✔ ✔


Date to Character ✔ ✔


Character to Date ✔ ✔


Dates ✔ ✔


Delete variables ✔ ✔







Factor Levels ✔ ✔


-- Add New Levels ✔ ✔


-- Display Levels ✔ ✔


-- Drop Unused Levels ✔ ✔


-- Label NA as 'Missing' ✔ ✔


-- Lumping into 'Other' ✔ ✔


-- Reorder by Occurence in Dataset ✔ ✔


-- Reorder by One Other Variable ✔ ✔


-- Reorder Levels Manually ✔ ✔


-- Specify levels to keep or replace by 'Other' ✔ ✔







Missing value analysis ✔ ✔


-- Remove NAs ✔ ✔


-- Numeric ✔ ✔


-- Character/Factor ✔ ✔


-- Model Imputation ✔ ✔


-- Use A Formula ✔ ✔


Rank variables ✔ ✔


Recode ✔ ✔


Standardize ✔ ✔


Transform ✔ ✔


Weight ✔ ✔

For Dataset Aggregate ✔ ✔


Expand ✔ ✔


Merge ✔ ✔


Merge Datasets ✔ ✔


Re-order variables alphabetically ✔ ✔


Reshape ✔ ✔


-- Wider ✔ ✔


-- Longer ✔ ✔


Sampling ✔ ✔


-- Sample ✔ ✔


-- Random Split ✔ ✔


-- Stratified Split ✔ ✔


-- Up Sample ✔ ✔


-- Down Sample ✔ ✔


Sorting ✔ ✔


-- Reorder Variables ✔ ✔


-- Sort ✔ ✔


Split ✔ ✔


Stack Datasets ✔ ✔


Subset ✔ ✔


Transpose ✔ ✔


-- Select Variables ✔ ✔


-- Entire Dataset ✔ ✔





Descriptive Statistics
Numerical summary analysis ✔ ✔


Factor variable analysis ✔ ✔


Frequencies ✔ ✔


Descriptive ✔ ✔


Summary by variable ✔ ✔


Summary (group by multiple variables) ✔ ✔


Numerical statistical analysis ✔ ✔


Dataset Comparison ✔ ✔


Dataset Description ✔ ✔





Analysis Tables Basic ✔ ✔


Advanced ✔ ✔





Analysis Missing Values Row Layout ✔ ✔


Column Layout ✔ ✔





Survival Analysis
Kaplan-Meier Estimation, compare groups ✔ ✔


Kaplan-Meier Estimation, one group ✔ ✔





Distribution, Continuous Beta Distribution Beta Probabilities ✔ ✔


Beta Quantiles ✔ ✔


Plot Beta Distribution ✔ ✔


Sample from Beta Distribution ✔ ✔

Cauchy Distribution Cauchy Probabilities ✔ ✔


Cauchy Quantiles ✔ ✔


Plot Cauchy Distribution ✔ ✔


Sample from Cauchy Distribution ✔ ✔

Chi-squared Distribution Chi-squared Probabilities ✔ ✔


Chi-squared Quantiles ✔ ✔


Plot Chi-squared Distribution ✔ ✔


Sample from Chi-squared Distribution ✔ ✔

Exponential Distribution Exponential Probabilities ✔ ✔


Exponential Quantiles ✔ ✔


Plot Exponential Quantiles ✔ ✔


Sample from Exponential Distribution ✔ ✔

F Distribution F Probabilities ✔ ✔


F Quantiles ✔ ✔


Plot F Distribution ✔ ✔


Sample from F Distribution ✔ ✔

Gamma Distribution Gamma Probabilities ✔ ✔


Gamma Quantiles ✔ ✔


Plot Gamma Distribution ✔ ✔


Sample from Gamma Distribution ✔ ✔

Gumbel Distribution Gumbel Probabilities ✔ ✔


Gumbel Quantiles ✔ ✔


Plot Gumbel Distribution ✔ ✔


Sample from Gumbel Distribution ✔ ✔

Logistic Distribution Logistic Probabilities ✔ ✔


Logistic Quantiles ✔ ✔


Plot Logistic Distribution ✔ ✔


Sample from Logistic Distribution ✔ ✔

Lognormal Distribution Lognormal Probabilities ✔ ✔


Lognormal Quantiles ✔ ✔


Plot Lognormal Distribution ✔ ✔


Sample from Lognormal Distribution ✔ ✔

Normal Distribution Normal Probabilities ✔ ✔


Normal Quantiles ✔ ✔


Plot Normal Distribution ✔ ✔


Sample from Normal Distribution ✔ ✔

t Distribution t Probabilities ✔ ✔


t Quantiles ✔ ✔


Plot t Distribution ✔ ✔


Sample from t Distribution ✔ ✔

Uniform Distribution Uniform Probabilities ✔ ✔


Uniform Quantiles ✔ ✔


Plot Uniform Distribution ✔ ✔


Sample from Uniform Distribution ✔ ✔

Weibull Distribution Weibull Probabilities ✔ ✔


Weibull Quantiles ✔ ✔


Plot Weibull Distribution ✔ ✔


Sample from Weibull Distribution ✔ ✔
Distribution, Discrete Binomial Distribution Binomial Probabilities ✔ ✔


Binomial Quantiles ✔ ✔


Binomial Tail Probabilities ✔ ✔


Plot Binomial Distribution ✔ ✔


Sample from Binomial Distribution ✔ ✔

Geometric Distribution Geometric Probabilities ✔ ✔


Geometric Quantiles ✔ ✔


Geometric Tail Probabilities ✔ ✔


Plot Geometric Distribution ✔ ✔


Sample from Geometric Distribution ✔ ✔

Hypergeometric Distribution Hypergeometric Probabilities ✔ ✔


Hypergeometric Quantiles ✔ ✔


Hypergeometric Tail Probabilities ✔ ✔


Plot Hypergeometric Distribution ✔ ✔


Sample from Hypergeometric Distribution ✔ ✔

Negative Binomial Distribution Negative Binomial Probabilities ✔ ✔


Negative Binomial Quantiles ✔ ✔


Negative Binomial Tail Probabilities ✔ ✔


Plot Negative Binomial Distribution ✔ ✔


Sample from Negative Binomial Distribution ✔ ✔

Poisson Distribution Poisson Probabilities ✔ ✔


Poisson Quantiles ✔ ✔


Poisson Tail Probabilities ✔ ✔


Plot Poisson Distribution ✔ ✔


Sample from Poisson Distribution ✔ ✔





Graphics and Visualizations
Bar charts ✔ ✔


Boxplots ✔ ✔


Bulls Eye ✔ ✔


Contour plot ✔ ✔


2D Contour plot ✔ ✔


Coxcomb ✔ ✔


Density plots ✔ ✔


Frequency charts ✔ ✔


Heatmap ✔ ✔


Histogram ✔ ✔


Line charts ✔ ✔


Maps ✔ ✔


Pie charts ✔ ✔


Plot of means ✔ ✔


P-P plots ✔ ✔


Q-Q plots ✔ ✔


Scatterplot ✔ ✔


Stem and leaf plot ✔ ✔


Strip chart ✔ ✔


Two Y Axis ✔ ✔


Violin plot ✔ ✔





Statistical analysis
Correlation test ✔ ✔


Shapiro-Wilk normality test ✔ ✔






Compare means T-Test, Independent samples ✔ ✔


T-Test, One samples ✔ ✔


T-Test, Paired samples ✔ ✔


ANCOVA ✔ ✔


ANOVA, N Way ✔ ✔


ANOVA, 1 Way ✔ ✔


ANOVA, 1 Way, Blocks ✔ ✔


ANOVA, 1 Way, Random Blocks ✔ ✔


ANOVA, 1 and 2 Way ✔ ✔


ANOVA, Repeated Measures, Long ✔ ✔


ANOVA, Repeated Measures, Wide ✔ ✔


MANOVA ✔ ✔






Proportion test Single sample proportion test ✔ ✔


Single sample exact binomial proportion test ✔ ✔


Two sample proportion test ✔ ✔






Variance Two variance F-Test ✔ ✔






Possessive Bartlett's test ✔ ✔


Levene's test ✔ ✔






Non-parametric test Chi-squared test ✔ ✔


Friedman test ✔ ✔


Kruskal-Wallis test ✔ ✔


Wilcoxon test, independent samples ✔ ✔


Wilcoxon test, One sample ✔ ✔


Wilcoxon test, paired samples ✔ ✔






Contingency tables Multiway crosstab ✔ ✔


Two-way crosstab ✔ ✔


Odds Ratios, M by 2 table ✔ ✔


Relative Risks, M by 2 table ✔ ✔





Agreement analysis
Bland-Altman Plot ✔ ✔


Cohen's Kappa ✔ ✔


Concordance Correlation Coefficient * ✔


Concordance Correlation Coefficient, multiple raters * ✔


Diagnostic Testing ✔ ✔


Fleiss' Kappa ✔ ✔


Intraclass Correlation Coefficients ✔ ✔





Factor analysis
Principal component analysis ✔ ✔


Factor analysis ✔ ✔





Split datasets for analysis
Split ✔ ✔


Remove split ✔ ✔





Split datastes for modeling
Random split ✔ ✔


Stratified sampling ✔ ✔





Contrasts
Contrasts Display ✔ ✔


Contrasts Set ✔ ✔





Linear modeling
Generalized linear models ✔ ✔


Linear modeling ✔ ✔


Linear regression
✔ ✔


Linear Regression, multiple models
* ✔


Logistic regression
✔ ✔


Logistic Regression, conditional
* ✔


Logistic Regression, multiple models
* ✔


Multinomial Logit
✔ ✔


Ordinal Regression
✔ ✔


Quantile Regression
* ✔


Summarizing models for each group
✔ ✔
Model Fitting Cox Proportional Hazards Models Cox Multiple Models * ✔


Cox Single Model ✔ ✔


Cox With Formula ✔ ✔
Model Fitting
KNN ✔ ✔


Predict With KNN ✔ ✔





Mixed Models
Mixed Models, basic
✔ ✔





Tree algorithms
Decision trees ✔ ✔


Random forest ✔ ✔


Extreme Gradient Boosting ✔ ✔


Optimize ✔ ✔


Tune ✔ ✔

Neural Networks Multi-Layer Perceptron ✔ ✔


NeuralNets ✔ ✔





Probabilistics classifiers
Naive Bayes ✔ ✔





Clustering
Hierarchical cluster ✔ ✔


K-Means cluster ✔ ✔










Forecasting
Automated Arima ✔ ✔


Exponential smoothing ✔ ✔


Holt-Winters, seasonal ✔ ✔


Holt-Winters, Non-seasonal ✔ ✔


Plot time series, Separate or Combined ✔ ✔


Plot time series, With Correlations ✔ ✔
Reliability Analysis

. .


Cronbach's alpha ✔ ✔


McDonald's omega ✔ ✔





Model tuning
Bootstrap resampling ✔ ✔


K-fold cross validation ✔ ✔


Leave one out cross validation ✔ ✔


Repeated K-fold cross validation ✔ ✔





Model statistics
Add Statistics To Dataset ✔ ✔


ANOVA & Likelihood Ratio ✔ ✔


AIC ✔ ✔


BIC ✔ ✔


Bonferroni outlier test ✔ ✔


Compare Models ✔ ✔


Compare N Models ✔ ✔


Confidence interval ✔ ✔


Hosmer-Lemeshow test ✔ ✔


IRT ✔ ✔


Pseudo R squared ✔ ✔


Outlier Test ✔ ✔


Plot a Model ✔ ✔


Stepwise ✔ ✔


Summarize ✔ ✔


-- Model Statistics ✔ ✔


-- Parameter Estimates ✔ ✔


-- Summarize A Model ✔ ✔


-- Summarize N Model ✔ ✔


Variance inflation factors ✔ ✔





Model scoring
Pick a model ✔ ✔


Score the selected model ✔ ✔


Save model ✔ ✔


Load model ✔ ✔





Reporting
Custom tables ✔ ✔


Export to PDF ✔ ✔


Export to Excel ✔ ✔


Export to HTML ✔ ✔


Export output table to MS-Word as APA table ✔ ✔





Market basket
Generate rules ✔ ✔


Item frequency ✔ ✔


Targeting items ✔ ✔


Display rules ✔ ✔


Plot rules ✔ ✔





Dialog utilities
Dialog inspector ✔ ✔


Dialog installer ✔ ✔










* This dialog can be installed in the Open Source edition using the dialog installer. A maximum of 5 dialogs can be installed in Open Source edition.