CentCurv {quantCurves}

Centile curves based on one of the different methods

Description

Centile curves based on one of the different methods

Usage

CentCurv(
  x,
  y,
  bandwidth.select = "CV",
  method,
  lambdas = 0,
  kernel = locpol::gaussK,
  d = 3,
  cents = c(0.03, 0.25, 0.5, 0.75, 0.97),
  disp_window = FALSE
)

Arguments

x

the explanatory variable - numeric

y

the response variable - numeric

bandwidth.select

the bandwidth method choice: CV or plug-in. Default is CV.

method

str - The method choosen for displaying the curve. Could be: "Local normal constant", "Local normal linear", "Polynomial local" or "B-splines".

lambdas

set to 0. To be set if method chosen is "B-Splines". Tunes the tradeoff between the goodness of fit and the regularity of the spline - numeric value or numeric vector

kernel

the Kernel function that will be used in the algorithm ("trig", "gauss", "circ", "cubic" or "epan").

d

differentiation order - 1, 2 or 3. Default is set to d=3.

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).

Value

Plots centile curves according to the chosen method

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`
CentCurv(x,y,method='Polynomial local')
CentCurv(x,y,method='B-Splines',lambdas=1)