polylocLin: Polynomial local linear estimator

In quantCurves: Estimate Quantiles Curves

Polynomial local linear estimator

Description

Polynomial local linear estimator

Usage

polylocLin(
  x,
  y,
  bandwidth.method = "CV",
  cents = c(0.03, 0.25, 0.5, 0.75, 0.97),
  disp_window = TRUE,
  leg = TRUE,
  axes.lab = NULL
)

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)).
disp_window	Boolean. Should the scale of bandwidth be displayed (TRUE) or not (FALSE).
leg	Boolean. Should the legend be desplayed (TRUE) or not (FALSE).
axes.lab	NULL or c("Nom_axe_X, Nom_axe_Y").

Value

Plots the centile curves and returns a list object containing bandwidth value and estimated centiles values.

Examples

#create an example data frame
weights=c(500,600,1000,1150,1200,1260,1240,1300,1370,1500,2000,2100,2150,2500,
2800,2900,3050,3200,2980,3000,3300,3100,3200,3600,3500,3700,3900,3900,4000,
4200,3000,4500,4300,4900,4350,3700,4000,5000,4300)
age<-c(30,30,30,31,31,31,32,32,32,33,33,33,34,34,34,35,35,35,36,36,36,
37,37,37,38,38,38,39,39,39,40,40,40,41,41,41,42,42,42)
sample<-data.frame(age,weights)
colnames(sample)<-c("Gestational Age in weeks","Weight in gramms")
x<-sample$`Gestational Age in weeks`
y<-sample$`Weight in gramms`
#calculate the centile and plot the curves
polylocLin(x,y)

quantCurves documentation built on March 18, 2022, 5:11 p.m.