SampleData

A data set for the test of your model, containing values of 2000 cases. It is used as data for the examples.

datasets

A wide variety of ways to calculate (through equations) or predict (using 9 Machine learning methods as well as a stack algorithm combination of them all) the Low Density Lipoprotein values of patients based on the values of three other metrics, namely Total Cholesterol , Triglycerides and High Density Lipoprotein. It can also calculate the variance of LDL and the Atherogenic Index of Plasma (AIP) using error propagation and bootstrapping.

Petros Paplomatas

LDLcalc

Calculate and Predict the Low Density Lipoprotein Values

Kostas Anagnostopoulos

SampleData function

A <code>data frame</code> with 5 elements, which are:<dl>
<dt>AGE</dt>
<dd>The Age of cases</dd><dt>CHOL</dt>
<dd>The Cholesterol of cases</dd><dt>TG</dt>
<dd>The Triglyceride of cases</dd><dt>HDL</dt>
<dd>The High Density Lipoprotein of cases</dd><dt>LDLd</dt>
<dd>The direct Low Density Lipoprotein of cases</dd>
</dl>

Format

Anonymous real data — SampleData

A <code>data frame</code> with 5 elements, which are:<dl>
<dt>AGE</dt>
<dd>The Age of cases</dd>

<dt>CHOL</dt>
<dd>The Cholesterol of cases</dd>

<dt>TG</dt>
<dd>The Triglyceride of cases</dd>

<dt>HDL</dt>
<dd>The High Density Lipoprotein of cases</dd>

<dt>LDLd</dt>
<dd>The direct Low Density Lipoprotein of cases</dd>


</dl>

SampleData: Anonymous real data

Description

Usage

Arguments

Format