BlueSky Statistics
 Provides a familiar powerful user interface available in mainstream statistical applications like SPSS, SAS etc.
 Unlocks the power of R for the analyst community by providing a rich GUI and output for several popular statistics, data mining, data manipulation and graphics commands, all out of the box...
 Provide a rich development framework for developing and deploying new statistical modules, applications or functions with rich graphical user interfaces and output, all through intuitive drag and drop user interfaces (No programming required).
BlueSky Statistics can help you
 Migrate from expensive propriety statistical applications to R.
 Ease the R learning curve.
 Use the cutting edge analytics available in R without having to learn programming.
 Get results in true word processing tables automatically.
 Quickly add your own menus and dialog boxes to any R functions.
For sophisticated users, BlueSky Statistics provides a rich application development framework that can be used to design new modules or new statistical functions with intuitive drag and drop interfaces. In a couple of clicks these modules can be installed in the BlueSky Statistics application or distributed to a colleague empowering both the author and the consumer.
Our goal is to create a marketplace where users can share their analytical functions and modules efficiently.
BlueSky Application







BlueSky R Command Editor Users of the BlueSky Statistics application are not constrained to using the graphical user interface. The syntax editor allows users to:







BlueSky Output Viewer The BlueSky Output Viewer allows you to share the results of your analysis including graphs, tables with your peers, management team or customers who don't have the BlueSky Statistics application. This gives consumers of the analytics the rich interactivity available in the BlueSky Statistics application. 






BlueSky Dialog Designer The BlueSky Dialog designer is an application development framework that allows you to create statistical modules or functions with a rich graphical user interface and output for any existing R function in any package or any new R function or package you create. The BlueSky Dialog designer allows you to create and save the user interface and output definition for the statistics module or function in a zipped file. 
Latest Release
Build: 7.10
Open Sourcex64
Open Sourcex86
Commercialx64
Release Notes
Dialog Designer x64x86
Stable Release
Build: 7.0
Open Sourcex64
Open Sourcex86
Commercialx64
Release Notes
Dialog Designer x64x86
Prior Releases
Minimum system requirements
Minimum functioning specifications
Hardware  Requirement  Applicable operating system 
Disk space  Minimum free disk space. 20 GB of available harddisk space.  All supported Windows operating systems 
Display  A monitor with 1024×768 resolution or higher  All supported Windows operating systems 
Media drives  A DVDROM drive is required if you are installing from the installation disk.  All supported Windows operating systems 
Memory  Minimum RAM 4 GB  All supported Windows operating systems 
Processor  Intel® Pentium® or Pentiumclass processor or higher (for 32bit Windows) x64 (AMD 64 and EM64T) processor family (for 64bit Windows)  All supported Windows operating systems 
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.
Commercial Edition
1. BlueSky Statistics Commercial Desktop:The BlueSky Statistics Commercial Desktop provides all the capabilities of the open source edition plus:
 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 bug fixes and feature requests
The BlueSky Statistics Commercial Desktop 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
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 20072010 
✔ 
✔ 

Comma separated (*.csv) 
✔ 
✔ 

DBF (*.DBF) 
✔ 
✔ 

SAS (*.sas7bdat) 
✔ 
✔ 

DAT (*.DAT) 
✔ 
✔ 

Txt (*.txt) 
✔ 
✔ 

Load Data 
From R package 
✔ 
✔ 

Database Connectivity 
MSSQL 
✔ 
✔ 

PostgreSQL 
✔ 
✔ 

MySQL 
✔ 
✔ 

MSAccess 
✔ 
✔ 

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

Excel 20072010 
✔ 
✔ 

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, ifthen 
✔ 
✔ 

Conditional Compute, ifthenelse 
✔ 
✔ 

Concatenate multiple variabels 
✔ 
✔ 

Convert to factors 
✔ 
✔ 

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 
✔ 
✔ 

Rank variables 
✔ 
✔ 

Recode 
✔ 
✔ 

Standardize 
✔ 
✔ 

Transform 
✔ 
✔ 

Weight 
✔ 
✔ 

For Dataset 
Aggregate 
✔ 
✔ 

Merge 
✔ 
✔ 

Merge Datasets 
✔ 
✔ 

Reorder variables alphabetically 
✔ 
✔ 

Reshape 
✔ 
✔ 

Sample 
✔ 
✔ 

Sort 
✔ 
✔ 

Stack Datasets 
✔ 
✔ 

Subset 
✔ 
✔ 

Transpose 
✔ 
✔ 

Descriptive Statistics 
Numerical summary analysis 
✔ 
✔ 

Factor variable analysis 
✔ 
✔ 

Frequencies 
✔ 
✔ 

Summary by variable 
✔ 
✔ 

Summary (group by multiple variables) 
✔ 
✔ 

Numerical statistical analysis 
✔ 
✔ 

Dataset Comparison 
✔ 
✔ 

Dataset Description 
✔ 
✔ 

Analysis 
Tables 
Basic 
✔ 
✔ 
Advanced 
✔ 
✔ 

Survival Analysis 
KaplanMeier Estimation, compare groups 
✔ 
✔ 

KaplanMeier 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 
✔ 
✔ 

Chisquared Distribution 
Chisquared Probabilities 
✔ 
✔ 

Chisquared Quantiles 
✔ 
✔ 

Plot Chisquared Distribution 
✔ 
✔ 

Sample from Chisquared 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 
✔ 
✔ 

Density plots 
✔ 
✔ 

Frequency charts 
✔ 
✔ 

Heatmap 
✔ 
✔ 

Histogram 
✔ 
✔ 

Line charts 
✔ 
✔ 

Maps 
✔ 
✔ 

Pie charts 
✔ 
✔ 

Plot of means 
✔ 
✔ 

PP plots 
✔ 
✔ 

QQ plots 
✔ 
✔ 

Scatterplot 
✔ 
✔ 

Stem and leaf plot 
✔ 
✔ 

Strip chart 
✔ 
✔ 

Violin plot 
✔ 
✔ 

Statistical analysis 
Correlation test 
✔ 
✔ 

ShapiroWilk normality test 
✔ 
✔ 

Compare means 
TTest, Independent samples 
✔ 
✔ 

TTest, One samples 
✔ 
✔ 

TTest, Paired samples 
✔ 
✔ 

ANCOVA 
✔ 
✔ 

Multiway ANOVA 
✔ 
✔ 

Oneway ANOVA 
✔ 
✔ 

Oneway ANOVA with Blocks 
✔ 
✔ 

Oneway ANOVA with Random Blocks 
✔ 
✔ 
Agreement analysis 
BlandAltman 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 
✔ 
✔ 