PlotCorrWithRegrLine

Scatterplot of pairs of parameters with the corresponding regression line.

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

PlotCorrWithRegrLine function

<dl><dt>df</dt>
<dd>The data frame with the parameterrs to be plotted</dd>
<dt>xParam</dt>
<dd>The parameter (column name) to be plotted in the abscissa (x axis).</dd>
<dt>yParam</dt>
<dd>The prameter (column name) to be plotted in the ordinate (y axis).</dd></dl>

Arguments

Scatterplot of pairs of parameters — PlotCorrWithRegrLine

<dl>

<dt>df</dt>
<dd>The data frame with the parameterrs to be plotted</dd>


<dt>xParam</dt>
<dd>The parameter (column name) to be plotted in the abscissa (x axis).</dd>


<dt>yParam</dt>
<dd>The prameter (column name) to be plotted in the ordinate (y axis).</dd>

</dl>

PlotCorrWithRegrLine: Scatterplot of pairs of parameters

Description

Usage

Value

Arguments

Examples