sincos: Sine Cosine Model

In npsm: Nonparametric Statistical Methods

Sine Cosine Model

Description

Simulated dataset

Usage

data("sincos")

Format

A data frame with 197 observations on the following 2 variables.

x

independent variable

y

dependent variable

Details

The data were generated using x <- seq(1,50,by=.25) ; y <- 5*sin(3*x) + 6*cos(x/4)+rnorm(length(x),0,10)

References

Kloke, J. and McKean, J.W. (2014), Nonparametric statistical methods using R, Boca Raton, FL: Chapman-Hall.

Examples

data(sincos)
plot(y~x,sincos)

### code to create Figure 4.9 of Kloke & McKean 2014 ###
my.sincos<-sincos
my.sincos$y3<-my.sincos$y
my.sincos$y3[137] <- 800

plot(y3~x,ylim=c(-50,50),data=my.sincos)
fit4 <- loess(y3 ~ x,data=my.sincos)
# lines(fit4$x,fit4$fitted,lty=2)
with(fit4,lines(x,fitted,lty=2))
fit5 <- loess(y3 ~ x,family="symmetric",data=my.sincos)
with(fit5,lines(x,fitted,lty=1))
legend('bottomleft',legend=c('Local Robust Fit','Local LS Fit'),lty=1:2)
title("loess Fits of Sine-Cosine Data")

npsm documentation built on Nov. 15, 2023, 1:08 a.m.