Compute Date Differences and Categorize

This function takes a dataset with date variables `birth1a` and `birth1b` and computes two new variables: `datac1`, which is the difference in days between `birth1b` and `birth1a`, and `datac2`, which categorizes this difference into "current", "late", or "delayed".

Usage

construct_timeliness(data, threshold_late = 30, threshold_delayed = 365)

Arguments

data

A data frame containing the columns `birth1a` and `birth1b` of date type.

threshold_late

A days threshold to determine whether a registration is current or late. 30 by default.

threshold_delayed

A days threshold to determine whether a registration is delayes. 365 by default.

Value

A data frame with the original columns plus `datac1` and `datac2`.

Examples

df <- data.frame(
  birth1a = as.Date(c('2023-01-01', '2022-01-01', '2020-01-01', '2023-06-01')),
  birth1b = as.Date(c('2023-01-15', '2022-02-15', '2021-06-01', '2024-06-01'))
)
df <- construct_timeliness(df)