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Genstat Data Analysis Software

Flexible general data analysis software applicable to all fields of research from VSNi
"I love fitting ANOVA models using Genstat! It's still by far the best to understand sources of variation and where fixed effects fall under each source of variation!"
Gary Walker, Statistical Consultant.
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Interactive Demo

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Knowledge Base

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Tutorial Videos

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e-Learning

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Make Data Analysis Easy With Genstat Data Software

Genstat is a general data analysis software package for education and research. Flexible and easy-to-use, Genstat may be applied to any field of research. The user interface contains comprehensive menus to guide non-technical users to use data correctly and effectively. It also has a powerful programming language that can be used to develop new techniques and complex experiments.  
Genstat provides a huge range of data procedures, data management, and graphical capabilities. It has powerful spreadsheet facilities for data storage and manipulation and an attractive graphics viewer that allows users to edit and interact with their plots. Download Genstat for Windows here.

Features of Genstat

Data Analysis Software Demos

Take a tour of Genstat data software with our interactive demos, taking you through several analyses, pre-loaded with sample data to get you started with our easily.
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Modelling Binomial Proportions

Compare the effectiveness of three analgesic drugs to a standard drug, by testing the response in 14 groups of mice.
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Contingency Tables

Test for an association between two categorical variables: wind direction and the occurrence of rain.
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Principal Components Analysis

The Principal Components Analysis demo is an interactive demo, pre-loaded with sample data to give you a real feel of using Genstat for your analysis.

Case studies

Our analytics software and consulting services are chosen by seed, plant, aqua and animal breeding companies worldwide to support and inform the development of new varieties, strains, stocks and breeds.
vsni
vsnc
biosci
A world leader in the advancement and application of algorithmic and analytical content for the smart/precision biotech sector

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