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This is applying reshape::cast(). Only for 'aggregated' data without multiple measurements of one trait.
Otherwise, definitions must be set for how to aggregate data, if one taxon has multiple measurements for one trait. It is impossible to make advanced assumptions about the data quality.
The text was updated successfully, but these errors were encountered:
this is implemented with cast.traitdata(). For now this reshapes the dataset into a matrix, mainting all other structural information, be it observation level data, or species level data.
In the future, the function might be extended to compile aggregate measures from multiple values, e.g. by pulling them into means or ranges, and by handling categorical values into unified responses.
This is applying reshape::cast(). Only for 'aggregated' data without multiple measurements of one trait.
Otherwise, definitions must be set for how to aggregate data, if one taxon has multiple measurements for one trait. It is impossible to make advanced assumptions about the data quality.
The text was updated successfully, but these errors were encountered: