check_data3: Check Data3

In poissonconsulting/datacheckr: Data Checking

Description

Checks a data frame's rows, columns, classes and values and key.

Usage

check_data3(
  data,
  values = NULL,
  min_row = 1,
  max_row = max_nrow(),
  key = character(0),
  select = FALSE,
  data_name = substitute(data)
)

Arguments

data	The data frame to check.
values	A named list specifying the columns and their associated classes and values.
min_row	A count of the minimum number of rows.
max_row	A count of the maximum number of rows.
key	A character vector of the column names representing the key.
select	deprecated A flag indicating whether to if possible drop unnamed columns and reorder the remainder so that column names matches those in values.
data_name	A string of the name of data.

Details

check_data3 enforces maximal constraints. By default it requires data to have rows (and therefore columns). It also does not allow NULLs in values and requires column names in values to be unique. In addition it also requires that data only includes the columns in values in the same order.

For more permissive data checking see check_data1 and check_data2.

Value

Throws an informative error or returns an invisible copy of data.

poissonconsulting/datacheckr documentation built on March 18, 2021, 10:37 a.m.