ErrorCorCov

This function calculates the residuals
(the squared difference of each value from the mean) of two groups. Then
it calculates the correlation and covariance between the residuals of the two
groups and plots them.

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

ErrorCorCov function

<dl><dt>dataset1</dt>
<dd>A vector containing the values of the first group.</dd>
<dt>dataset2</dt>
<dd>A vector containing the values of the second group.</dd>
<dt>plot</dt>
<dd>(default=TRUE). Plot the errors of the first group versus the second one.</dd></dl>

Arguments

Calculate correlation and covariance of residuals — ErrorCorCov

<dl>

<dt>dataset1</dt>
<dd>A vector containing the values of the first group.</dd>


<dt>dataset2</dt>
<dd>A vector containing the values of the second group.</dd>


<dt>plot</dt>
<dd>(default=TRUE). Plot the errors of the first group versus the second one.</dd>

</dl>

ErrorCorCov: Calculate correlation and covariance of residuals

Description

Usage

Value

Arguments

Examples