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Which formats are accepted for quantitative data?

The most easy way to define quantitative data (e.g. from a spreadsheet) is saving in a character separated format (CSV). Each row must contain first the identifier of the hierarchy leave followed by the respective quantity:

Cluster 0.0.0.0    -25.045
Cluster 0.0.0.1    -26.027
Cluster 0.0.0.2    -22.645
Cluster 0.0.0.3    -25.131
Cluster 0.0.1.0    -21.113
Cluster 0.0.1.1    -24.632
...

The quantitiy may be followed by another number, describing the level of significance (e.g. a p value), which will result in a more (high significance) or less (low significance) satured color:

Cluster 0.0.0.0    -25.045    0.366
Cluster 0.0.0.1    -26.027    0.037
Cluster 0.0.0.2    -22.645    0.051
Cluster 0.0.0.3    -25.131    0.239
Cluster 0.0.1.0    -21.113    0.352
Cluster 0.0.1.1    -24.632    0.246
...

Last update on 2015-08-06 by Markus Kolbe.

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