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...
MENU LIST |
Description/Comment
(if not self-evident) |
Biplots |
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PC1
vs. PC2 (Default) |
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PC3
vs. PC4 |
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PC5
vs. PC6 |
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PC1
vs. PC3 |
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PC2
vs. PC3 |
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AMMI1
biplot |
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This is the “biplot” most
commonly used in AMMI analysis. AMMI stands for Additive Main Effect and
Multiplicative Interaction effects. AMMI analysis was a popular method for
yield trial data analysis before GGE Biplot Analysis was invented. Since
this biplot is not a real biplot, it does not most of the interpretations a
real biplot has. |
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3-D biplot |
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This produces a rotating
3-D biplot that displays the first three principal components. This is a
very touchy feature of GGEbiplot. It is particularly useful for datasets
that are large and contain complex pa |