compareCurv {quantCurves}

Centile curves according to different methods

Description

Centile curves according to different methods

Usage

compareCurv(x, y, bandwidth.method = "CV", lambdas, data, leg = FALSE)

Arguments

x

the explanatory variable - numeric

y

the response variable - numeric

bandwidth.method

the method chosen to calculate bandwdth. Could be cross validation or Plug-in. Default is set to CV.

lambdas

to be set for "B-Splines". Can be a vector or a single numeric value. Tunes the tradeoff between the goodness of fit and the regularity of the spline - numeric value or numeric vector

data

the abnormal/external data we want to compare the curves with

leg

Boolean. Should the legend be desplayed (TRUE) or not (FALSE).

Value

Plots centile curves with the different methods and displays them on the same figure as the noise data to compare

Examples

#create a sample data frame
sample<-data.frame(sample(30:42,30,rep=TRUE),sample(800:5000,30,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(30:42,6,rep=TRUE),sample(800:5000,6,rep=TRUE))
colnames(abnormal)<-c("Gestational Age in weeks","Weight in gramms")
compareCurv(x,y,bandwidth.method="Plug-in",lambdas=1,abnormal)