ancestorConceptProcessor: Create an ancestry concept processor

In sverchkov/BaselineRegularization: Baseline Regularization

Description

Use an ancestry table to add a column of ancestor concepts to a record table

Usage

ancestorConceptProcessor(concept_ancestor = "concept_ancestor",
  concept_tbl = NULL, concept_list = NULL, handle_remaining = "drop",
  con = NULL, record_table_column = "concept_id",
  ancestor_column = "ancestor_concept_id",
  descendant_column = "descendant_concept_id",
  out_column = "concept_id", copy = FALSE)

Arguments

concept_ancestor	The table defining ancestry relations
concept_tbl	A one-column table with the ancestor concepts to map (use either this or concept_list)
concept_list	An array or list with the ancestor concepts to map (use either this or concept_tbl)
handle_remaining	How to handle concepts not mapped to ancestors. "drop" (the default) removes the records, "passthrough" passes the values through (only use if ancestor and descendant concepts are of the same type).
con	The connection to use when specifying tables by their names in a database as strings
record_table_column	The column in the record table on which to map ancestors
ancestor_column	The ancestor column in 'concept_ancestor'
descendant_column	The descendant column in 'concept_ancestor'
out_column	The name to give the resulting column
copy	Passthrough parameter to [dplyr::left_join], needed when tables have different sources

Value

A function that operates on a table and adds 'out_column' accordingly

Author(s)

Yuriy Sverchkov

sverchkov/BaselineRegularization documentation built on May 9, 2019, 1:26 p.m.