dccvalidator (version 0.3.0)

check_cols_complete: Check for complete columns

Description

Check for complete columns in the data and fail (or warn) if incomplete. Missing columns that are required to be complete are ignored.

Usage

check_cols_complete(
  data,
  required_cols,
  empty_values = c(NA, ""),
  strict = TRUE,
  success_msg = "Required columns present are complete",
  fail_msg = "Some required columns are not complete"
)

Arguments

data

Data to check

required_cols

A character vector of the required columns to check for completeness.

empty_values

Values that are considered empty. Defaults to NA and "".

strict

If FALSE, return a "check_warn" object; if TRUE, return a "check_fail" object

success_msg

Message indicating the check succeeded.

fail_msg

Message indicating the check failed.

Value

A condition object indicating whether the data contains columns that are not complete.

Examples

# NOT RUN {
dat <- data.frame(specimenID = c("x", "y"), organ = c(NA, NA))
check_cols_complete(dat, c("specimenID", "organ"))
# }