Scientific Computing World reviews GenStat 11th Edition

“Thorough, Stable, Significant"................ "One of the industry's most serious packages”

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GenStat

So what exactly is GenStat?

Well, depending on who you direct the question to will depend on the answer. To some it’s a data analysis tool, to others statistical software; Indeed GenStat has been referred to “the essence of my work.”

We at VSNi like to think of GenStat as an all embracing data analysis tool offering ease of use via our comprehensive menu system reinforced with the flexibility of a sophisticated programming language. All this is available in one focussed environment that encourages prototyping and development while guiding new and less experienced users through the well planned menu and diagnostic messaging (not to mention a whole host of training and resource).

For over 30 years we have employed and continue to work with leading statisticians and scientists creating a package that can succeed for both novice and expert users in academia, research and industry.

One of the many benefits of GenStat is that it is a complete package. You can use GenStat to manage and illustrate your data, summarize and compare, model relationships, design investigations and of course analyse your experiments from the simplest of ANOVA’s right through to the most complex REML. Our comprehensive range of leading edge statistical content is continually being updated in line with both industry progression and user feedback.

Originally conceived and developed at the Rothamsted Experimental Station (RRES), where many of the statistical techniques still in use today were first discovered, GenStat has a 30 year pedigree and is used in the most demanding real-life applications today.

Features

Exploratory data analysis and basic statistics
Statistical distribution fitting
Six sigma Statistical Process Control (SPC)
Multivariate analysis techniques
Time series analysis
Survival analysis
Geostatistics
Resampling methods
Analysis of Microarray data
Sample size calculations
Spatial Analysis – including co-kriging
Point & line identification in 2d & 3d scatterplots

Design of experiments
Analysis of designed experiments (ANOVA)
REML (unbalanced models, linear mixed models, spatial models, meta-analysis)
Repeated measurements
Regression (Linear, Generalized linear, Nonlinear, Hierarchical Generalized linear)
Classification and Regression Trees
Display and analysis of circular data (for climatology for example)
Formatted output –
Customizable menus
Audit Trail/Event Log

View the full list for the 11th Edition in the new features section.

Documentation and user contributions

Documentation can be found within the resources section of our site or through the help menu in the software.

There are various very useful user generated tutorials and manuals to be found in the user area. We would like to thank all those who have contributed and welcome any further contributions you may have to help your fellow ASReml users.