Package index • cleaningtools

All functions

add_duration(): Creates a duration variable using the start and end time of the survey

add_duration_from_audit(): Adds duration from the audit file

add_info_to_cleaning_log(): Add information to the cleaning log

add_percentage_missing(): Adds the percentage of missing values per row

auto_detect_sm_parents(): Detect select multiple parent columns

auto_sm_parent_children(): detect and group together select multiple parent and children columns

check_duplicate(): Checks for duplicated values in columns

check_duration(): Check if duration is outside of a range

check_fcs(): FCS component checks

check_logical(): Check a logical test

check_logical_with_list(): Check several logical test

check_others(): Generate a log for other follow up questions

check_others_checks(): Check if the input passed to the check_others function is correct

check_outliers(): check outliers over the dataset

check_percentage_missing(): Check the percentages of missing value

check_pii(): Checks for potential PII

check_soft_duplicates(): Checks for survey similarities - Soft Duplicates

check_value(): Check for value(s) in the dataset

cleaningtools_analysis_by_group: Analysis by population group

cleaningtools_choices: Choices tab of kobo tool

cleaningtools_clean_data: Clean data

cleaningtools_cleaning_log: Cleaning log

cleaningtools_food_consumption_df: Dataset with food consumption, household hunger Score component

cleaningtools_overall_analysis: Nation/all population level analysis.

cleaningtools_raw_data: Raw data

cleaningtools_sample_frame: Sample frame

cleaningtools_survey: Survey tab of kobo tool

coerce_to_character(): Coerce numeric values to character, without scientific noting and NA are kept as NA.

create_audit_list(): Read all audit files from a zip

create_clean_data(): implement cleaning log on raw data set.

create_cleaning_log(): Compares 2 dataset and logs differences

create_cleaning_template(): Create a project folder with a cleaning template

create_col_range(): Generate excel range to be used for the data validation formula in excel

create_combined_log(): Merging the cleaning logs

create_duration_from_audit_sum_all(): Calculate duration from audit summing all time

create_duration_from_audit_with_start_end(): Calculate duration from audit between 2 questions

create_formated_wb(): Creates formatted workbook with openxlsx

create_formatted_choices(): Format and filter Choices for 'select_one' Questions

create_logic_for_other(): Create logical checks for "other" values.

create_validation_list(): Create a Validation List for Data Entry

create_xlsx_cleaning_log(): Creates formatted excel for cleaning log

detect_variable(): detects variables names in code

recreate_parent_column(): This function recreates the columns for select multiple questions

review_cleaning(): Review cleaning

review_cleaning_log(): Review cleaning log

review_others(): Review discrepancy between kobo relevancies and the dataset.

review_sample_frame_with_dataset(): Compares the sample frame with the clean data

verify_valid_choices(): Verify if the Kobo choices dataframe is valid

verify_valid_survey(): Verify if the Kobo survey dataframe is valid