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At the moment, fields not defined within the c14datelist are removed, but in some cases the additional fields are needed for analysis. As an example, aDRAC now contains a CLASS field that contains information on the reliability of each date. This field is crucial in order to properly filter the db.
Thus: what do you think about adding an option that returns the c14datelist + appended remaining fields? Something like get_c14data(c("adrac", "all"))?
The text was updated successfully, but these errors were encountered:
We may have to read the additional variables as strings, though, and then apply automatic type inference later. Otherwise adding additional variables would probably mess up our type enforcement pipeline.
Another issue are structurally more complex databases, where you could merge in a lot of additional variables from different tables. If we want to get everything that's somehow relevant, then we have to look deeper into these datasets.
For the interface I would only add a simple switch all_variables = FALSE to all getter functions. Of course we could come up with something to turn the additional variables on for individual databases in get_c14data, but I think this would just make it unnecessary complicated. If you for example want to have some databases without all vars, and one with, then you can work with multiple calls to get_c14data and fuse:.
At the moment, fields not defined within the c14datelist are removed, but in some cases the additional fields are needed for analysis. As an example, aDRAC now contains a CLASS field that contains information on the reliability of each date. This field is crucial in order to properly filter the db.
Thus: what do you think about adding an option that returns the c14datelist + appended remaining fields? Something like
get_c14data(c("adrac", "all"))
?The text was updated successfully, but these errors were encountered: