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Derive Shift

Source: R/derive_var_shift.R
derive_var_shift.Rd

Derives a character shift variable containing concatenated shift in values based on user-defined pairing, e.g., shift from baseline to analysis value, shift from baseline grade to analysis grade, ...

Usage

derive_var_shift(
  dataset,
  new_var,
  from_var,
  to_var,
  missing_value = "NULL",
  sep_val = " to "
)

Arguments

dataset

Input dataset

The variables specified by the from_var and to_var arguments are expected to be in the dataset.

new_var

Name of the character shift variable to create.

from_var

Variable containing value to shift from.

to_var

Variable containing value to shift to.

missing_value

Character string to replace missing values in from_var or to_var.

Default: "NULL"

sep_val

Character string to concatenate values of from_var and to_var.

Default: " to "

Value

The input dataset with the character shift variable added

Details

new_var is derived by concatenating the values of from_var to values of to_var (e.g. "NORMAL to HIGH"). When from_var or to_var has missing value, the missing value is replaced by missing_value (e.g. "NORMAL to NULL").

See also

BDS-Findings Functions that returns variable appended to dataset: derive_basetype_records(), derive_var_analysis_ratio(), derive_var_anrind(), derive_var_atoxgr(), derive_var_atoxgr_dir(), derive_var_base(), derive_var_chg(), derive_var_ontrtfl(), derive_var_pchg()

Examples

library(tibble)

data <- tribble(
  ~USUBJID, ~PARAMCD, ~AVAL, ~ABLFL, ~BNRIND, ~ANRIND,
  "P01", "ALB", 33, "Y", "LOW", "LOW",
  "P01", "ALB", 38, NA, "LOW", "NORMAL",
  "P01", "ALB", NA, NA, "LOW", NA,
  "P02", "ALB", 37, "Y", "NORMAL", "NORMAL",
  "P02", "ALB", 49, NA, "NORMAL", "HIGH",
  "P02", "SODIUM", 147, "Y", "HIGH", "HIGH"
)

data %>%
  convert_blanks_to_na() %>%
  derive_var_shift(
    new_var = SHIFT1,
    from_var = BNRIND,
    to_var = ANRIND
  )
#> # A tibble: 6 × 7
#>   USUBJID PARAMCD  AVAL ABLFL BNRIND ANRIND SHIFT1          
#>   <chr>   <chr>   <dbl> <chr> <chr>  <chr>  <chr>           
#> 1 P01     ALB        33 Y     LOW    LOW    LOW to LOW      
#> 2 P01     ALB        38 NA    LOW    NORMAL LOW to NORMAL   
#> 3 P01     ALB        NA NA    LOW    NA     LOW to NULL     
#> 4 P02     ALB        37 Y     NORMAL NORMAL NORMAL to NORMAL
#> 5 P02     ALB        49 NA    NORMAL HIGH   NORMAL to HIGH  
#> 6 P02     SODIUM    147 Y     HIGH   HIGH   HIGH to HIGH    

# or only populate post-baseline records
data %>%
  convert_blanks_to_na() %>%
  restrict_derivation(
    derivation = derive_var_shift,
    args = params(
      new_var = SHIFT1,
      from_var = BNRIND,
      to_var = ANRIND
    ),
    filter = is.na(ABLFL)
  )
#> # A tibble: 6 × 7
#>   USUBJID PARAMCD  AVAL ABLFL BNRIND ANRIND SHIFT1        
#>   <chr>   <chr>   <dbl> <chr> <chr>  <chr>  <chr>         
#> 1 P01     ALB        38 NA    LOW    NORMAL LOW to NORMAL 
#> 2 P01     ALB        NA NA    LOW    NA     LOW to NULL   
#> 3 P02     ALB        49 NA    NORMAL HIGH   NORMAL to HIGH
#> 4 P01     ALB        33 Y     LOW    LOW    NA            
#> 5 P02     ALB        37 Y     NORMAL NORMAL NA            
#> 6 P02     SODIUM    147 Y     HIGH   HIGH   NA