GGEbiplot Pattern Explorer

Complete solution to biplot analysis, video game for scientists


Functionality

GGEbiplot functions

Functions for a 4-Way Dataset

Variable-by-Variable Biplot

Association Biplot

Genotype by env. biplot

Genotype by trait biplot

QTL mapping biplot

QTL by environment biplot

Gene expression biplot

Diallel cross data biplot

Host by pathogen biplot

3D-Biplot

Free User-friendly ANOVA

Breeder's Kit

 

 

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GGEbiplot Beta download

GGEbiplot License

Biplot Analysis Presentations

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GGE biplot publications by users

GGE biplot publications

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You may know that many statistical software packages can generate biplots. However, GGEbiplot not only generates perfect biplots of all possible models but also analyzes them in all possible ways, many of them novel and unique. Further, GGEbiplot is created for use by all researchers, not just stats wizards...


File View 4-Way Data Biplot Tools Association Biplot Canonical Biplot Format Models Data Biplots ANOVA Breeder's Kit

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GGEbiplot Version 5

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ANOVA

This is a new addition of GGEbiplot. It allows reading any type of data with factors and traits in parallel columns. No particular order is required for the columns. For most plant breeders and agricultural scientists, this group of functions should be sufficient for needs for conventional statistical analysis. These functions are superior to some of the GLM functions in the SAS software, in addition to its user-friendliness: all operations are through button-clicking.

Also note: these ANOVA functions are available for free for any type or size of data in the Beta GGEbiplot.

 

Main Effects ANOVA

 

To conduct analysis of variance regarding any of the traits, to calculate mean values and LSD (least-significant difference) scaled mean values for the selected factor, which allows easy comparison among different levels of any the factor (year, location, variety, etc.)  

 

4-Way ANOVA

 

To conduct ANOVA for variety test data from a single environment, from multi-environments in a single year, and from multi-environments in multiple years for ALL or SELECTED traits.

ANOVA can be conducted and LSD-standardized values generated for year-location-genotype-trait data or any data of similar structures:

 

 


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