scrutiny (version 0.6.1)

function_map: Create new *_map() functions

Description

function_map() creates new basic mapper functions for consistency tests, such as grim_map() or debit_map().

For context, see Creating basic mappers with function_map().

Usage

function_map(
  .fun,
  .reported,
  .name_test,
  .name_key_result = "consistency",
  .name_class = NULL,
  .args_disabled = NULL,
  .col_names = NULL,
  .col_control = NULL,
  .col_filler = NULL,
  ...
)

Value

A factory-made function with these arguments:

• data: Data frame with all the columns named in .reported. It must have columns named after the key arguments in .fun. Other columns are permitted.

• Arguments named after the .reported values. They can be specified as the names of data columns so that the function will rename that column using the .reported name.

• reported, fun, name_class: Same as when calling function_map() but spelled without dots. You can override these defaults when calling the factory-made function.

• ...: Arguments passed down to .fun. This does not include the column-identifying arguments derived from .reported.

Arguments

.fun

Single-case consistency testing function that will be applied to each row in a data frame. The function must return a single logical value, i.e., TRUE, FALSE, or NA.

.reported

String. Names of the columns to be tested.

.name_test

String (length 1). Plain-text name of the consistency test, such as "GRIM".

.name_key_result

(Experimental) Optionally, a single string that will be the name of the key result column in the output. Default is "consistency".

.name_class

String. Optionally, one or more classes to be added to the output data frame. Default is NULL, i.e., no extra class (but see Details).

.args_disabled

Optionally, a string vector with names of arguments of the *_scalar() function that don't work with the factory-made function. If the user tries to specify these arguments, an informative error will be thrown.

.col_names

(Experimental) Optionally, a string vector with the names of additional columns that are derived from the *_scalar() function. Requires .col_control and .col_filler specifications.

.col_control

(Experimental) Optionally, a single string with the name of the *_scalar() function's logical argument that controls if the columns named in .col_names will be displayed.

.col_filler

(Experimental) Optionally, a vector specifying the values of .col_names columns in rows where the *_scalar() function only returned the consistency value.

...

These dots must be empty.

Value returned by the factory-made function

A tibble that includes "consistency": a logical column showing whether the values to its left are mutually consistent (TRUE) or not (FALSE).

Details

The output tibble returned by the factory-made function will inherit one or two classes independently of the .name_class argument:

• It will inherit a class named "scr_{tolower(.name_test)}_map"; for example, the class is "scr_grim_map" if .name_test is "GRIM".

• If a rounding argument is specified via ..., or else if .fun has a rounding argument with a default, the output tibble will inherit a class named "scr_rounding_{rounding}"; for example, "scr_rounding_up_or_down".

Examples

# Basic test implementation for "SCHLIM",
# a mock test with no real significance:
schlim_scalar <- function(y, n) {
  (y / 3) > n
}

# Let the function factory produce
# a mapper function for SCHLIM:
schlim_map <- function_map(
  .fun = schlim_scalar,
  .reported = c("y", "n"),
  .name_test = "SCHLIM"
)

# Example data:
df1 <- tibble::tibble(y = 16:25, n = 3:12)

# Call the "factory-made" function:
schlim_map(df1)