data.validator (version 0.2.1)

validate_cols: Validation on columns

Description

Validation on columns

Usage

validate_cols(
  data,
  predicate,
  ...,
  obligatory = FALSE,
  description = NA,
  skip_chain_opts = FALSE,
  success_fun = assertr::success_append,
  error_fun = assertr::error_append,
  defect_fun = assertr::defect_append
)

Arguments

data

A data.frame or tibble to test

predicate

Predicate function or predicate generator such as in_set or within_n_sds

...

Columns selection that predicate should be called on. All tidyselect language methods are supported. If not provided, all everything will be used.

obligatory

If TRUE and assertion failed the data is marked as defective. For defective data, all the following rules are handled by defect_fun function

description

A character string with description of assertion. The description is then displayed in the validation report

skip_chain_opts

While wrapping data with validate function, success_fun and error_fun parameters are rewritten with success_append and error_append respectively. In order to use parameters assigned to the function directly set skip_chain_opts to TRUE

success_fun

Function that is called when the validation pass

error_fun

Function that is called when the validation fails

defect_fun

Function that is called when the data is marked as defective

See Also

validate_if validate_rows