cleanepi1.0.2 package

Identify and return duplicated rows in a data frame or linelist.

Get sum of numbers from a string

Get the names of the columns from which duplicates will be found

Check order of a sequence of date-events

Convert Redcap data dictionary into {matchmaker} dictionary format

Detects whether a string contains only numbers or not.

Print the detected misspelled values

Detect the special character that is the separator in the date values

Get format from a simple Date value

Detect date format from a date column

Get part1 of date value

Get part2 of date value

Get part3 of date value

Try and guess dates from a characters

Detect misspelled options in columns to be cleaned

Detect the numeric columns that appears as characters due to the prese...

Make data dictionary for 1 field

Convert numeric to date

Add an element to the data dictionary

Add an element to the report object

Detect the appropriate abbreviation for day or month value

Check whether the order of the sequence of date-events is valid

Check whether the subject IDs comply with the expected format. When in...

Checks the uniqueness in values of the sample IDs column

Clean and standardize data

Perform dictionary-based cleaning

cleanepi: Clean and Standardize Epidemiological Data

Build the report for the detected misspelled values during dictionary-...

Detect a date format with only 1 separator

Convert columns into numeric

Correct the wrong subject IDs based on the user-provided values.

Check if date column exists in the given dataset

Check date time frame

Choose the first non-missing date from a data frame of dates

Convert characters to dates

Convert and update the date values

Detect complex date format

Guess if a character vector contains Date values, and convert them to ...

Extract date from a character string

Guess date format of a character string

Build the auto-detected format

Check whether the number of provided formats matches the number of tar...

Process date variable

Find the dates that lubridate couldn't

Trim dates outside of the defined boundaries

Set clean_data() default parameters

Generate report from data cleaning operations

Remove empty rows and columns and constant column

Remove duplicates

Replace missing values with NA

Get column names

Calculate the percentage of missing and other data type values in a ve...

Scan a data frame to determine the percentage of missing, numeric,...

Standardize column names of a data frame or linelist

Standardize date variables

Calculate time span between dates