NEWS.md
In datacheckr: Data Checking

NEWS datacheckr

Add function check_unique() to confirm an object doesn't have any duplicated elements.

Added arguments min_row = 0 and max_row = max_nrow() to check_data to allow checking of the number of rows.
Added argument key = character(0) to check_data to allow checking of a unique key.
Added stricter variants of check_data called check_data2 and check_data3 as well as an alias check_data1 for check_data and deprecated check_data.
Added function check_vector to check the class and values of a vector.
Added function check_scalar to check the class and values of a scalar.
Added functions check_flag, check_int, check_count, check_string, check_date and check_time functions for specific scalars.
Added function check_data_frame to check if an object is a data frame.
Added function check_rows to check the number of rows in a data frame.
Added function check_cols to check the names of columns in a data frame.
Added function check_values to check the classes and values of the columns in a data frame.
Added function check_key to check that particular columns represent unique keys.
Added function check_join to check a many-to-one join between two data frames.
Added wrapper function max_nrow() to return the theoretical maximum number of rows.
Added function min_integer as wrapper for -.Machine$integer.max.
Value checking now works with columns inheriting from base classes i.e. ordered factors.
Added argument data_name = substitute(data) to all functions so users can overide the name of data.

Added vignette datacheckr.
The copy of the original data frame returned by check_data is now invisible.
Added function max_integer as wrapper for .Machine$integer.max.
On fail check_data now lists specific permitted values if 5 or less (if 3 or less for character)