action_levels | Set action levels for reacting to exceeding thresholds |
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_vals_between | Are numerical column data between two specified values? |
col_vals_equal | Are numerical column data equal to a specific value? |
col_vals_gt | Are numerical column data greater than a specific value? |
col_vals_gte | Are numerical column data greater than or equal to a specific value? |
col_vals_in_set | Are column data part of a specific set of values? |
col_vals_lt | Are numerical column data less than a specific value? |
col_vals_lte | Are numerical column data less than or equal to a specific value? |
col_vals_not_between | Are numerical column data not between two specified values? |
col_vals_not_equal | Are numerical column data not equal to a specific value? |
col_vals_not_in_set | Are data not part of a specific 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 |
get_agent_report | Get a simple report from an agent |
get_data_extracts | Collect data extracts from a validation step |
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) |
small_table | A small table that useful for testing |