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The function creates the variables specified by the set_values_to argument, catches errors, provides user friendly error messages, and optionally checks the type of the created variables.

Usage

process_set_values_to(dataset, set_values_to = NULL, expected_types = NULL)

Arguments

dataset

Input dataset

set_values_to

Variables to set

A named list returned by exprs() defining the variables to be set, e.g. exprs(PARAMCD = "OS", PARAM = "Overall Survival") is expected. The values must be symbols, character strings, numeric values, expressions, or NA.

expected_types

If the argument is specified, the specified variables are checked whether the specified type matches the type of the variables created by set_values_to.

Permitted Values: A character vector with values "numeric" or "character"

Value

The input dataset with the variables specified by set_values_to added/updated

Examples

library(dplyr)
data <- tribble(
  ~AVAL,
  20
)

try(
  process_set_values_to(
    data,
    set_values_to = exprs(
      PARAMCD = BMI
    )
  )
)
#> Error in process_set_values_to(data, set_values_to = exprs(PARAMCD = BMI)) : 
#>   Assigning variables failed!
#>  `set_values_to = exprs(PARAMCD = BMI)`
#> See error message below:
#>  In argument: `PARAMCD = BMI`. Caused by error: ! object 'BMI' not found

try(
  process_set_values_to(
    data,
    set_values_to = exprs(
      PARAMCD = 42
    ),
    expected_types = c(PARAMCD = "character")
  )
)
#> Error in process_set_values_to(data, set_values_to = exprs(PARAMCD = 42),  : 
#>   The following variables have an unexpected type:
#>  PARAMCD: expected is <character>, but it is <numeric>.