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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