Recode variables that depend on derived medication variable inputs

Wraps recodeflow::rec_with_table() for use after derived medication variables (e.g., any_htn_med, diab_med) have been recoded and merged into the main cycle dataset. Use this instead of rec_with_table() when deriving variables whose inputs include derived medication variables: it automatically excludes medication-specific rows from variable_details so that pre-computed medication columns are passed through via the copy entries rather than re-derived from raw ATC/MHR columns.

Usage

recode_after_meds(
  data,
  variables,
  by = "clinicid",
  database_name = NULL,
  variable_details = chmsflow::variable_details
)

Arguments

data

data.frame Main cycle data with derived medication variables already merged.

variables

character Variable names to recode.

by

character Respondent identifier column. Default is "clinicid".

database_name

character Name of the database in variable_details. Defaults to the name of the data argument.

variable_details

data.frame Variable details table. Defaults to chmsflow::variable_details.

Value

data.frame Recoded data frame returned by recodeflow::rec_with_table().

See also

recode_meds_cycles3to6(), recode_meds_cycles1to2()

Examples

cycle3 <- recode_meds_cycles3to6(cycle3, cycle3_meds, c("any_htn_med", "diab_med"))
#> Warning:  is missing from variable details therefore cannot be recoded
cycle3_diab <- recode_after_meds(
  cycle3,
  c("lab_hba1", "diab_a1c", "diab_med", "ccc_51", "diab_status")
)
#> Warning:  is missing from variable details therefore cannot be recoded
head(cycle3_diab[, c("clinicid", "diab_status")])
#>   clinicid diab_status
#> 1        1           1
#> 2        2           1
#> 3        3           1
#> 4        4           1
#> 5        5           1
#> 6        6           1