Raises error if predicate is FALSE for any row after applying row reduction function

Meant for use in a data analysis pipeline, this function applies a function to a data frame that reduces each row to a single value. Then, a predicate function is applied to each of the row reduction values. If any of these predicate applications yield FALSE, this function will raise an error, effectively terminating the pipeline early. If there are no FALSEs, this function will just return the data that it was supplied for further use in later parts of the pipeline.

Usage

assert_rows(
  data,
  row_reduction_fn,
  predicate,
  ...,
  success_fun = success_continue,
  error_fun = error_stop,
  skip_chain_opts = FALSE,
  obligatory = FALSE,
  defect_fun = defect_append,
  description = NA
)

Arguments

data

A data frame

row_reduction_fn

A function that returns a value for each row of the provided data frame

predicate

A function that returns FALSE when violated

...

Comma separated list of unquoted expressions. Uses dplyr's select to select columns from data.

success_fun

Function to call if assertion passes. Defaults to returning data.

error_fun

Function to call if assertion fails. Defaults to printing a summary of all errors.

skip_chain_opts

If TRUE, success_fun and error_fun are used even if assertion is called within a chain.

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.

defect_fun

Function to call when data is defective. Defaults to skipping assertion and storing info about it in special attribute.

description

Custom description of the rule. Is stored in result reports and data.

Value

By default, the data is returned if predicate assertion is TRUE and and error is thrown if not. If a non-default

success_fun or error_fun is used, the return values of these function will be returned.

Details

For examples of possible choices for the success_fun and error_fun parameters, run help("success_and_error_functions")

Note

See vignette("assertr") for how to use this in context

See also

insist_rows assert verify insist

Examples