AIP_DensityPlotOfbootst: Plot density of bootstrap and empirical variance for AIP

In LDLcalc: Calculate and Predict the Low Density Lipoprotein Values

Plot density of bootstrap and empirical variance for AIP

Description

Plot density of the bootstrap variance for AIP along with the median, 2.5 and 97.5 percentile as vertical lines. Also plots the empirical variance as a segment from the bottom to the middle of the graph and the error propagation variance as a line segment from the top to the middle of the graph. DF must the dataframe of the list returned from the respective (LDL or AIP) Bootstrap variance function.

Usage

AIP_DensityPlotOfbootst(
  DF,
  title = "",
  empirVrnc,
  errPropVrnc,
  errPropVrnc2Ord
)

Arguments

DF	A data frame containing the bootstrap variances of AIP.
title	Title of the plot (default="").
empirVrnc	Value of the empirical (experimental) variance of AIP.
errPropVrnc	Value of the first order error propagation variance of AIP.
errPropVrnc2Ord	Value of the second order error propagation variance of AIP.

Value

Plots the respective plot.

Examples

## Not run: 
sampleA$AIP = AIPcalc(sampleA$TG,sampleA$HDL, SI=FALSE)
AIP_empirVrnc=var(sampleA$AIP)
AIP_errPropVrnc=AIPErrPrp(sampleA$TG,sampleA$HDL, SI=FALSE)
AIP_errPropVrnc2Ord=AIPErrPrp2Ord(sampleA$TG,sampleA$HDL, SI=FALSE)
DfAIPboost=as.data.frame(AIPbootVrnc(sampleA$TG,sampleA$HDL, SI=FALSE))
AIP_DensityPlotOfbootst(DfAIPboost,"Title",AIP_empirVrnc, AIP_errPropVrnc, AIP_errPropVrnc2Ord)

## End(Not run)

LDLcalc documentation built on May 31, 2022, 5:07 p.m.