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

Usage

Arguments

See also