action_levels           Set action levels: failure thresholds and
                        functions to invoke
all_passed              Did all of the validations fully _pass_?
col_exists              Do one or more columns actually exist?
col_is_character        Do the columns contain character/string data?
col_is_date             Do the columns contain R 'Date' objects?
col_is_factor           Do the columns contain R 'factor' objects?
col_is_integer          Do the columns contain integer values?
col_is_logical          Do the columns contain logical values?
col_is_numeric          Do the columns contain numeric values?
col_is_posix            Do the columns contain 'POSIXct' dates?
col_schema              Generate a table column schema manually or with
                        a reference table
col_schema_match        Do columns in the table (and their types) match
                        a predefined schema?
col_vals_between        Are column data between two specified values?
col_vals_equal          Are column data equal to a specified value?
col_vals_gt             Are column data greater than a specified value?
col_vals_gte            Are column data greater than or equal to a
                        specified value?
col_vals_in_set         Are column data part of a specified set of
                        values?
col_vals_lt             Are column data less than a specified value?
col_vals_lte            Are column data less than or equal to a
                        specified value?
col_vals_not_between    Are column data not between two specified
                        values?
col_vals_not_equal      Are column data not equal to a specified value?
col_vals_not_in_set     Are data not part of a specified set of values?
col_vals_not_null       Are column data not 'NULL'/'NA'?
col_vals_null           Are column data 'NULL'/'NA'?
col_vals_regex          Do strings in column data match a regex
                        pattern?
conjointly              Perform multiple rowwise validations for joint
                        validity
create_agent            Create a pointblank agent object
email_blast             Send email at a step or at the end of an
                        interrogation
email_preview           Get a preview of an email before actually
                        sending that email
get_agent_report        Get a simple report from an agent
get_agent_x_list        Get the agent's *x-list*
get_data_extracts       Collect data extracts from a validation step
get_sundered_data       Sunder the data, splitting it into 'pass' and
                        'fail' pieces
interrogate             Given an agent that has a validation plan,
                        perform an interrogation
rows_distinct           Verify that row data are distinct
rows_not_duplicated     Verify that row data are not duplicated
                        (deprecated)
scan_data               Thoroughly scan the table data so as to
                        understand it better
small_table             A small table that is useful for testing
small_table_sqlite      A SQLite version of the 'small_table' dataset
stock_msg_body          Provide simple email message body components:
                        body
stock_msg_footer        Provide simple email message body components:
                        footer
