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This is a group of functions that makes GGEbiplot many times more efficient. Biplots based on any subset of the data can be conveniently generated on the fly without modifying the data file.

• Entry/Tester Switch Roles. 

  It transposes the data matrix so that the rows are treated as columns and columns as rows.

• Filling Missing Cells
• Derived values
• Data Subsetting
• Reverse the Sign of one or all testers. 

This is useful for visualization of traits for which the values of a tester are so recorded that greater values means less desirable. Examples are disease scores, days to maturity, plant height, some quality measures, etc.

• Diallel Data manipulation
• Entry stratification
• Tester stratification
• Back to Previous Subset:
• Back to Original Data

These modifications will NOT change your data file. You can always go back to the original data matrix.