smocc

Longitudinal height and weight measurements during ages 0-2 years for a representative sample of 1933 Dutch children born in 1988-1989. The dataset smocc is the sample of 200 subjects from the full dataset.

datasets

Convert irregularly spaced longitudinal data into regular intervals for further analysis,
and perform clustering using advanced machine learning techniques.
The package is designed for handling complex longitudinal datasets,
optimizing them for research in healthcare, demography, and other fields
requiring temporal data modeling.

Atanu Bhattacharjee

ILRCM

Convert Irregular Longitudinal Data to Regular Intervals and
Perform Clustering

Tanmoy  Majumdar

Gajendra  Kumar Vishwakarma

smocc function

A data frame with 1942 rows and 7 variables:<dl>
 <dt>id</dt>
<dd>ID, unique id of each child (numeric)</dd> <dt>age</dt>
<dd>Decimal age, 0-2.68 years (numeric)</dd> <dt>sex</dt>
<dd>Sex, "male" or "female" (character)</dd> <dt>ga</dt>
<dd>Gestational age, completed weeks (numeric)</dd> <dt>bw</dt>
<dd>Birth weight in grammes (numeric)</dd> <dt>hgt</dt>
<dd>Height measurement in cm (numeric)</dd> <dt>hgt_z</dt>
<dd>Height in SDS relative Fourth Dutch Growth Study 1997 (numeric)</dd>
</dl>

Format

SMOCC Data — smocc

A data frame with 1942 rows and 7 variables:<dl>
 <dt>id</dt>
<dd>ID, unique id of each child (numeric)</dd>

 <dt>age</dt>
<dd>Decimal age, 0-2.68 years (numeric)</dd>

 <dt>sex</dt>
<dd>Sex, "male" or "female" (character)</dd>

 <dt>ga</dt>
<dd>Gestational age, completed weeks (numeric)</dd>

 <dt>bw</dt>
<dd>Birth weight in grammes (numeric)</dd>

 <dt>hgt</dt>
<dd>Height measurement in cm (numeric)</dd>

 <dt>hgt_z</dt>
<dd>Height in SDS relative Fourth Dutch Growth Study 1997 (numeric)</dd>


</dl>

smocc: SMOCC Data

Description

Usage

Arguments

Format

Examples