detect_to_numeric_columns

Detect the numeric columns that appears as characters due to the presence of
some character values in the column.

internal

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 

detect_to_numeric_columns function

<dl><dt>scan_res</dt>
<dd>A <code>&lt;data.frame&gt;</code> that corresponds to the result from the
<code>scan_data</code> function</dd>
<dt>data</dt>
<dd>The input <code>&lt;data.frame&gt;</code> or <code>&lt;linelist&gt;</code></dd></dl>

Arguments

Detect the numeric columns that appears as characters due to the presence of
some character values in the column. — detect_to_numeric_columns

<dl>

<dt>scan_res</dt>
<dd>A <code>&lt;data.frame&gt;</code> that corresponds to the result from the
<code>scan_data</code> function</dd>


<dt>data</dt>
<dd>The input <code>&lt;data.frame&gt;</code> or <code>&lt;linelist&gt;</code></dd>

</dl>

Detect the numeric columns that appears as characters due to the presence of
some character values in the column.

detect_to_numeric_columns: Detect the numeric columns that appears as characters due to the presence of some character values in the column.

Description

Usage

Value

Arguments