common_na_strings

<p>This vector contains common values of NA (missing) and is intended for
use within {cleanepi} functions <code>replace_missing_values()</code>.
The current list of strings used can be found by printing out
<code>common_na_strings</code>. It serves as a helpful tool to explore your data
for possible missing values. However, I strongly caution against using
this to replace <code>NA</code> values without meticulously examining the
incidence for each case. Please note that <code>common_na_strings</code> utilizes
<code>\\</code> around the "?", ".", and "*" characters to prevent their wildcard</p>

datasets

Cleaning and standardizing tabular data package, tailored
specifically for curating epidemiological data. It streamlines various
data cleaning tasks that are typically expected when working with
datasets in epidemiology. It returns the processed data in the same
format, and generates a comprehensive report detailing the outcomes of
each cleaning task.

Karim Mané

cleanepi

Clean and Standardize Epidemiological Data

Thibaut Jombart

Abdoelnaser Degoot

Bankolé Ahadzie

Nuredin Mohammed

Bubacarr Bah

Hugo Gruson

Pratik R. Gupte

James M. Azam

Joshua W. Lambert

Chris Hartgerink

Andree Valle-Campos

London School of Hygiene and Tropical Medicine, LSHTM 

data.org 

common_na_strings function

Format

Common strings representing missing values — common_na_strings

Common strings representing missing values

common_na_strings: Common strings representing missing values

Description

Usage

Arguments

Format