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