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

 

 

Information 

Biplot Analysis Instructions

GGEbiplot Beta download

GGEbiplot License

Biplot Analysis Presentations

User's feedback

GGE biplot publications by users

GGE biplot publications

References on biplot analysis

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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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Description/Comment

(if not self-evident)

Biplot Tools

 

 

 This is the core of GGEbiplot.

 

Rank on any Entry

 

The testers are ranked based on any chosen entry by rotating the biplot

 

Rank on any Tester

 

The entries are ranked based on any chosen tester by rotating the biplot

 

Relation among Testers

 

This function is one of the most useful functions. It is used to visualize the relationships among testers and the degree to which each tester is represented in the biplot.

 

Relation among Entries

 

To visualize the similarities among entries.

 

Show/Hide Concentric circles

 

This helps to see the vector lengths of the testers or of entries.

 

Combine two Testers

 

To see the ranks of the entries based on two testers.

 

Compare two entries

 

To compare two entries for their relative performances regarding each of the testers.

 

Entry-tester relationship

 

To show how each of the entries interacts with each of the testers.

 

Which Won Where

 

Produces a “polygon view of the biplot” with perpendicular lines to its sides dividing the biplot into sectors. This is one of the most important functions of “GGE Biplot Analysis,” which identifies entries that have the highest values regarding one or more testers.

 

Mean vs. Stability

 

This is another very important function of “GGE Biplot Analysis”, that shows simultaneously the mean performance and the stability of the entries.

 

Average Tester Coordination

 

This adds the “Average Tester Coordination” (ATC view of the biplot), which is the basis for genotype (entry) evaluation based on mean and stability, and for test environment (tester) evaluation based on its discrimination of the genotypes and representativeness of the other test environments.

 

Rank Entries/Testers

 

This group of functions produces concentric circles using an entry or a tester as the concentric center. This graphically ranks the entries or testers with a selected reference.

 

 

with ref. to an Entry

 Any selected entry as the concentric center.

 

 

with ref. to a Tester

 Any selected tester as the concentric center.

 

 

with ref. to the "Ideal" Tester

The "Ideal" tester is the concentric center, which is defined to be the most discriminating of the entries and the most representative of other testers. This is a very useful tool for test environment evaluation.

 

 

with ref. to the "Ideal" Entry

The "Ideal" entry is the concentric center, which is defined as to having the highest mean performance and being absolutely stable. This function is very important for selecting high yielding and stable genotypes.

 

Flip Biplot

 

Biplot flip will not change its interpretation, because it is the relative positions of the entries and the testers rather than their PC values that is important.

 

 

Vertical flip

 

 

 

Horizontal flip

 

 

 

Switch Axes

 

 

Connect...

 

 

 

 

Entries

 

 

 

Testers

 

 

Linear Map of...

 

To mimic the genetic maps to the association among traits or markers to see the relationships among them.

 

 

Testers

 

 

 

Entries

 

       

 


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