Man pages for cleanepi
Clean and Standardize Epidemiological Data
| add_to_dictionary | Add an element to the data dictionary |
| add_to_report | Add an element to the report object |
| check_date_sequence | Checks whether the order in a sequence of date events is... |
| check_subject_ids | Check whether the subject IDs comply with the expected... |
| check_subject_ids_oness | Checks the uniqueness in values of the sample IDs column |
| clean_data | Clean and standardize data |
| cleanepi-package | cleanepi: Clean and Standardize Epidemiological Data |
| clean_using_dictionary | Perform dictionary-based cleaning |
| common_na_strings | Common strings representing missing values |
| construct_misspelled_report | Build the report for the detected misspelled values during... |
| convert_numeric_to_date | Convert numeric to date |
| convert_to_numeric | Convert columns into numeric |
| correct_subject_ids | Correct the wrong subject IDs based on the user-provided... |
| date_check_outsiders | Convert and update date values |
| date_check_timeframe | Check date time frame |
| date_choose_first_good | Choose the first non-missing date from a data frame of dates |
| date_convert | Convert characters to dates |
| date_detect_complex_format | Detect complex date format |
| date_detect_day_or_month | Detect the appropriate abbreviation for day or month value |
| date_detect_format | Detect a date format with only 1 separator |
| date_detect_separator | Detect the special character that is the separator in the... |
| date_detect_simple_format | Get format from a simple Date value |
| date_get_format | Infer date format from a vector or characters |
| date_get_part1 | Split a string based on a pattern and return the first... |
| date_get_part2 | Get part2 of date value |
| date_get_part3 | Get part3 of date value |
| date_guess | Try and guess dates from a characters |
| date_guess_convert | Guess if a character vector contains Date values, and convert... |
| date_i_guess_and_convert | Extract date from a character vector |
| date_make_format | Build the auto-detected format |
| date_match_format_and_column | Check whether the number of provided formats matches the... |
| date_process | Process date variable |
| date_rescue_lubridate_failures | Find the dates that lubridate couldn't |
| date_trim_outliers | Trim dates outside of the defined timeframe |
| detect_misspelled_options | Detect misspelled options in columns to be cleaned |
| detect_to_numeric_columns | Detect the numeric columns that appears as characters due to... |
| dictionary_make_metadata | Make data dictionary for 1 field |
| find_duplicates | Identify and return duplicated rows in a data frame or... |
| get_default_params | Set and return 'clean_data' default parameters |
| get_target_column_names | Get the names of the columns from which duplicates will be... |
| is_date_sequence_ordered | Check order of a sequence of date-events |
| make_unique_column_names | Make column names unique when duplicated column names are... |
| modify_default_params | Update 'clean_data' default argument's values with the... |
| numbers_only | Detects whether a string contains only numbers or not. |
| perform_remove_constants | Remove constant data. |
| pipe | Pipe operator |
| print_misspelled_values | Print the detected misspelled values |
| print_report | Generate report from data cleaning operations |
| remove_constants | Remove constant data, including empty rows, empty columns,... |
| remove_duplicates | Remove duplicates |
| replace_missing_values | Replace missing values with 'NA' |
| replace_with_na | Detect and replace values with 'NA' from a vector |
| retrieve_column_names | Get column names |
| scan_data | Scan through a data frame and return the proportion of... |
| scan_in_character | Scan through a character column |
| standardize_column_names | Standardize column names of a data frame or line list |
| standardize_dates | Standardize date variables |
| timespan | Calculate time span between dates |
| tr_ | Flag out what message will be translated using the 'potools'... |
