Same as
addBirthday(), except query is not computed to a table.
The function accounts for leap years and corrects the invalid dates to the next valid date.
Usage
addBirthdayQuery(
x,
birthdayName = "birthday",
birthday = 0,
ageMissingMonth = 1,
ageMissingDay = 1,
ageImposeMonth = FALSE,
ageImposeDay = FALSE,
ageUnit = "years"
)Arguments
- x
A table containing individuals in a CDM reference.
- birthdayName
Name of the birthday column to add.
- birthday
Day of birth to add.
- ageMissingMonth
Month of the year assigned when month of birth is missing.
- ageMissingDay
Day of the month assigned when day of birth is missing.
- ageImposeMonth
If
TRUE, month of birth is treated as missing for all individuals.- ageImposeDay
If
TRUE, day of birth is treated as missing for all individuals.- ageUnit
Unit in which to express age:
"years","months", or"days".
Examples
# \donttest{
library(PatientProfiles)
library(dplyr)
cdm <- mockPatientProfiles(source = "duckdb")
cdm$cohort1 |>
addBirthdayQuery() |>
glimpse()
#> Rows: ??
#> Columns: 5
#> $ cohort_definition_id <int> 2, 3, 2, 1, 1, 2, 2, 1, 3, 3
#> $ subject_id <int> 5, 9, 7, 4, 8, 10, 3, 1, 2, 6
#> $ cohort_start_date <date> 1949-02-12, 1950-05-18, 1934-08-23, 1942-01-08, 1…
#> $ cohort_end_date <date> 1979-11-11, 1954-03-23, 1945-12-07, 1944-07-01, 1…
#> $ birthday <date> 1937-01-01, 1940-01-01, 1920-01-01, 1925-01-01, …
cdm$cohort1 |>
addBirthdayQuery(birthday = 5) |>
glimpse()
#> Rows: ??
#> Columns: 5
#> $ cohort_definition_id <int> 2, 3, 2, 1, 1, 2, 2, 1, 3, 3
#> $ subject_id <int> 5, 9, 7, 4, 8, 10, 3, 1, 2, 6
#> $ cohort_start_date <date> 1949-02-12, 1950-05-18, 1934-08-23, 1942-01-08, 1…
#> $ cohort_end_date <date> 1979-11-11, 1954-03-23, 1945-12-07, 1944-07-01, 1…
#> $ birthday <date> 1942-01-01, 1945-01-01, 1925-01-01, 1930-01-01, …
# }
