Meant for use in a data analysis pipeline, this function will just return the data it's supplied if all the logicals in the expression supplied are TRUE. If at least one is FALSE, this function will raise a error, effectively terminating the pipeline early
Usage
verify(
data,
expr,
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, list, or environment
- expr
A logical expression
- 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
anderror_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