action_levels           Set action levels: failure thresholds and
                        functions to invoke
activate_steps          Activate one or more of an _agent_'s validation
                        steps
affix_date              Put the current date into a file name
affix_datetime          Put the current datetime into a file name
all_passed              Did all of the validations fully _pass_?
col_count_match         Does the column count match that of a different
                        table?
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        Do column data lie between two specified values
                        or data in other columns?
col_vals_decreasing     Are column data decreasing by row?
col_vals_equal          Are column data equal to a fixed value or data
                        in another column?
col_vals_expr           Do column data agree with a predicate
                        expression?
col_vals_gt             Are column data greater than a fixed value or
                        data in another column?
col_vals_gte            Are column data greater than or equal to a
                        fixed value or data in another column?
col_vals_in_set         Are column data part of a specified set of
                        values?
col_vals_increasing     Are column data increasing by row?
col_vals_lt             Are column data less than a fixed value or data
                        in another column?
col_vals_lte            Are column data less than or equal to a fixed
                        value or data in another column?
col_vals_make_set       Is a set of values entirely accounted for in a
                        column of values?
col_vals_make_subset    Is a set of values a subset of a column of
                        values?
col_vals_not_between    Do column data lie outside of two specified
                        values or data in other columns?
col_vals_not_equal      Are column data not equal to a fixed value or
                        data in another column?
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?
col_vals_within_spec    Do values in column data fit within a
                        specification?
conjointly              Perform multiple rowwise validations for joint
                        validity
create_agent            Create a *pointblank* _agent_ object
create_informant        Create a *pointblank* _informant_ object
create_multiagent       Create a *pointblank* _multiagent_ object
db_tbl                  Get a table from a database
deactivate_steps        Deactivate one or more of an _agent_'s
                        validation steps
draft_validation        Draft a starter *pointblank* validation .R/.Rmd
                        file with a data table
email_blast             Conditionally send email during interrogation
email_create            Create an email object from a *pointblank*
                        _agent_
export_report           Export an _agent_, _informant_, _multiagent_,
                        or table scan to HTML
file_tbl                Get a table from a local or remote file
from_github             Specify a file for download from GitHub
game_revenue            A table with game revenue data
game_revenue_info       A table with metadata for the 'game_revenue'
                        dataset
get_agent_report        Get a summary 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_informant_report    Get a table information report from an
                        _informant_ object
get_multiagent_report   Get a summary report using multiple agents
get_sundered_data       Sunder the data, splitting it into 'pass' and
                        'fail' pieces
get_tt_param            Get a parameter value from a summary table
has_columns             Determine if one or more columns exist in a
                        table
incorporate             Given an _informant_ object, update and
                        incorporate table snippets
info_columns            Add information that focuses on aspects of a
                        data table's columns
info_columns_from_tbl   Add column information from another data table
info_section            Add information that focuses on some key aspect
                        of the data table
info_snippet            Generate a useful text 'snippet' from the
                        target table
info_tabular            Add information that focuses on aspects of the
                        data table as a whole
interrogate             Given an agent that has a validation plan,
                        perform an interrogation
log4r_step              Enable logging of failure conditions at the
                        validation step level
read_disk_multiagent    Read *pointblank* _agents_ stored on disk as a
                        _multiagent_
remove_steps            Remove one or more of an _agent_'s validation
                        steps
row_count_match         Does the row count match that of a different
                        table?
rows_complete           Are row data complete?
rows_distinct           Are row data distinct?
scan_data               Thoroughly scan a table to better understand it
serially                Run several tests and a final validation in a
                        serial manner
set_tbl                 Set a data table to an _agent_ or an
                        _informant_
small_table             A small table that is useful for testing
small_table_sqlite      An SQLite version of the 'small_table' dataset
snip_highest            A 'fn' for 'info_snippet()': get the highest
                        value from a column
snip_list               A 'fn' for 'info_snippet()': get a list of
                        column categories
snip_lowest             A 'fn' for 'info_snippet()': get the lowest
                        value from a column
snip_stats              A 'fn' for 'info_snippet()': get an inline
                        statistical summary
specially               Perform a specialized validation with a
                        user-defined function
specifications          A table containing data pertaining to various
                        specifications
stock_msg_body          Provide simple email message body components:
                        body
stock_msg_footer        Provide simple email message body components:
                        footer
stop_if_not             A specialized version of 'stopifnot()' for
                        *pointblank*: 'stop_if_not()'
tbl_get                 Obtain a materialized table via a table store
tbl_match               Does the target table match a comparison table?
tbl_source              Obtain a table-prep formula from a table store
tbl_store               Define a store of tables with table-prep
                        formulas: a table store
tt_string_info          Table Transformer: obtain a summary table for
                        string columns
tt_summary_stats        Table Transformer: obtain a summary stats table
                        for numeric columns
tt_tbl_colnames         Table Transformer: get a table's column names
tt_tbl_dims             Table Transformer: get the dimensions of a
                        table
tt_time_shift           Table Transformer: shift the times of a table
tt_time_slice           Table Transformer: slice a table with a slice
                        point on a time column
validate_rmd            Perform *pointblank* validation testing within
                        R Markdown documents
write_testthat_file     Transform a *pointblank* agent to a *testthat*
                        test file
x_read_disk             Read an _agent_, _informant_, _multiagent_, or
                        table scan from disk
x_write_disk            Write an _agent_, _informant_, _multiagent_, or
                        table scan to disk
yaml_agent_interrogate
                        Get an _agent_ from *pointblank* YAML and
                        'interrogate()'
yaml_agent_show_exprs   Display validation expressions using
                        *pointblank* YAML
yaml_agent_string       Display *pointblank* YAML using an agent or a
                        YAML file
yaml_exec               Execute all agent and informant YAML tasks
yaml_informant_incorporate
                        Get an _informant_ from *pointblank* YAML and
                        'incorporate()'
yaml_read_agent         Read a *pointblank* YAML file to create an
                        _agent_ object
yaml_read_informant     Read a *pointblank* YAML file to create an
                        _informant_ object
yaml_write              Write *pointblank* objects to YAML files
