The AxijFreq matrix contains the frequency distributions of all classes in each accession.
The process considers missing data.
Frequencies are calculated to work out same-weighted accession.
Here is an example:
1 | 2 | 3 | 4 | 5 | 6 | 1 | 2 | 3 | 1 | 2 | |||
0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.66 | 0 | |||
0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0.66 | |||
1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.33 | 0.33 |
The AxijFreq matrix works out the average of all frequencies subcore accession from each class and each variable
Note: AxijFreq is used by optimizing functions for Nei and Shannon indices.
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