The following query gives us the identifiers for subjects who completed both parts of the survey and for whom at least some fingering data were recorded:
select response_id
from well_known_subject s
inner join
(select distinct subject
from finger where fingers != '') f
on s.response_id = f.subject
We save this query as the "complete_response_id" view. There are 191 such response_ids.
So we load the "exploratory_response_id" table like so:
So we load the "exploratory_response_id" table like so:
insert into exploratory_response_id
select response_id
from complete_response_id
order by random()
limit 96
The 95 response_ids not included in this table are stored in the "validation_response_id" view:
select c.response_idThe actual (scrubbed) profile data will remain in the "subject" table. We will create views to provide access to the appropriate data ("exploratory_subject" and "validation_subject"), which will leverage the subject_latexable view of the subject data to use camel-case column names. This makes it unnecessary to remap the column names in R.
from complete_response_id c
where not exists (select response_
from exploratory_response_id e
where e.response_id = c.response_id)
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