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baad has two species columns: species and speciesMatched, however there is only a definition for species
e.g.
> subset(dat$dictionary, variable =='species')
variable units group type has_methods essential label minValue maxValue allowableValues description
9 species <NA> species character FALSE TRUE species NA NA <NA> latin name of species (genus species)
> subset(dat$dictionary, variable =='speciesMatched')
[1] variable units group type has_methods essential label minValue maxValue allowableValues description
<0 rows> (or 0-length row.names)
I'm guessing speciesMatched is the a column that has been checked against some species name database?
Also although self explanatory there is no dictionary definition for studyName either.
For consistency I think the dictionary should match the structure of the data.
This can happen by adding definitions for the two variables I mention above.
# of columns
> length(names(baad$data))
[1] 62
# of column definitions
> length(baad$dictionary$variable)
[1] 60
The text was updated successfully, but these errors were encountered:
baad has two species columns:
species
andspeciesMatched
, however there is only a definition forspecies
e.g.
I'm guessing speciesMatched is the a column that has been checked against some species name database?
Also although self explanatory there is no dictionary definition for
studyName
either.For consistency I think the dictionary should match the structure of the data.
This can happen by adding definitions for the two variables I mention above.
The text was updated successfully, but these errors were encountered: