Simulated dataset for gam

A simple simulated dataset, used to test out the gam functions

Format

A data frame with 100 observations on the following 6 variables:

x

a numeric vector - predictor

y

a numeric vector - the response

z

a numeric vector - noise predictor

f

a numeric vector - true function

probf

a numeric vector - probability function

ybin

a numeric vector - binary response

Details

This dataset is artificial, and is used to test out some of the features of gam.

Examples

data(gam.data)
gam(y ~ s(x) + z, data=gam.data)
#> Call:
#> gam(formula = y ~ s(x) + z, data = gam.data)
#> 
#> Degrees of Freedom: 99 total; 93.99988 Residual
#> Residual Deviance: 7.90768