buildSQLDBR: buildSQLDBR
In AndrewC160/ROMOPOmics: ROMOPOmics: incorporating 'Omics Data Into The Observational Medical Outcomes Partnership (OMOP) Data Model
Description
Wrapper which uses dplyr's src_sqlite() function to create the SQLite
database, and adds all OMOP-formatted tables (as produced by the function
combineInputTables()) to the database. Requires a list of formatted tables.
If an an output file name is provided, the database file is saved in this
location. Otherwise, the database file is stored in memory (equivalent to
providing ":memory:" to dbConnect()).
Usage
1
buildSQLDBR(omop_tables, sql_db_file = ":memory:")
Arguments
omop_tables
Filesnames of all OMOP csv files to be incorporated into the database.
sql_db_file
Filename under which to store the SQLite database file.
AndrewC160/ROMOPOmics documentation built on Jan. 27, 2021, 6:57 p.m.
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Description
Wrapper which uses dplyr's src_sqlite() function to create the SQLite database, and adds all OMOP-formatted tables (as produced by the function combineInputTables()) to the database. Requires a list of formatted tables. If an an output file name is provided, the database file is saved in this location. Otherwise, the database file is stored in memory (equivalent to providing ":memory:" to dbConnect()).
Usage
1 | buildSQLDBR(omop_tables, sql_db_file = ":memory:")
|
Arguments
omop_tables |
Filesnames of all OMOP csv files to be incorporated into the database. |
sql_db_file |
Filename under which to store the SQLite database file. |
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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