polylocLinData: Polynomial local linear estimator compared to noise data

In HugoBrtn/quantCurves: Estimate quantile curves

Description

Polynomial local linear estimator compared to noise data

Usage

polylocLinData(
  x,
  y,
  bandwidth.method = "Plug-in",
  cents = c(0.03, 0.25, 0.5, 0.75, 0.97),
  data,
  leg = FALSE
)

Arguments

x	the explanatory variable - numeric
y	the response variable - numeric
bandwidth.method	the bandwidth method choice: CV or plug-in. Default is CV.
cents	A numeric vector that represents the centiles calculated. Default is set to cents=c(0.03,0.25,0.5,0.75,0.97)).
data	the noise data we want to compare
leg	Boolean. Should the legend be displayed (TRUE) or not (FALSE).

Value

Plots the centile curves and data points to compare with.

Examples

#create a sample data frame
sample<-data.frame(sample(30:42,50,rep=TRUE),sample(800:5000,50,rep=TRUE))
colnames(sample)<-c("Gestational Age in weeks","Weight in gramms")
x<-sample$`Gestational Age in weeks`
y<-sample$`Weight in gramms`
abnormal<-data.frame(sample(30:42,10,rep=TRUE),sample(800:5000,10,rep=TRUE))
colnames(abnormal)<-c("Gestational Age in weeks","Weight in gramms")
polylocLinData(x,y,bandwidth.method="Plug-in",cents=c(0.03,0.25,0.50,0.75,0.97),data=abnormal)

HugoBrtn/quantCurves documentation built on Dec. 31, 2021, 12:01 a.m.