make_dict: Determine dimentionality of Events
In CC-HIC/inspectEHR: Data Quality Reporting for CC-HIC
Description
Usage
Arguments
Value
Examples
Description
This function take a metadata table and produces a list of NIHR codes
describing whether the data is 1d (i.e. only measured once) or 2d (i.e "time
varying")
Usage
1
Arguments
metadata
a collected metadata table
Value
a metadata table
Examples
1
2
3
4
db_pth <- system.file("testdata/synthetic_db.sqlite3", package = "inspectEHR")
ctn <- connect(sqlite_file = db_pth)
make_dict(dplyr::collect(dplyr::tbl(ctn, "variables")))
DBI::dbDisconnect(ctn)
CC-HIC/inspectEHR documentation built on Jan. 16, 2020, 11:24 p.m.
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Description Usage Arguments Value Examples
Description
This function take a metadata table and produces a list of NIHR codes describing whether the data is 1d (i.e. only measured once) or 2d (i.e "time varying")
Usage
1 |
Arguments
metadata |
a collected metadata table |
Value
a metadata table
Examples
1 2 3 4 | db_pth <- system.file("testdata/synthetic_db.sqlite3", package = "inspectEHR")
ctn <- connect(sqlite_file = db_pth)
make_dict(dplyr::collect(dplyr::tbl(ctn, "variables")))
DBI::dbDisconnect(ctn)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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