Closed kouamea closed 4 years ago
To elaborate further, people might want to handle NAs in different columns differently. For the example dataframe below:
value_as_concept_id
to zero for no matching concept and drop all rowshba1c = data.frame(
person_id = c(1, 2, 3, 4),
value_as_number = c(5.5, 6.0, NA, NA),
value_as_concept_id = c(NA, NA, 42, NA))
closing old pull requests
Aymone_snippets