smooth.spline_tidiers {broom} | R Documentation

## tidying methods for smooth.spline objects

### Description

This combines the original data given to smooth.spline with the fit and residuals

### Usage

    ## S3 method for class 'smooth.spline'
    augment(x, data = x$data, ...)

    ## S3 method for class 'smooth.spline'
    glance(x, ...)

### Arguments

`x` | a smooth.spline object
`data` | defaults to data used to fit model
`...` | not used in this method

### Details

No `tidy` method is provided for smooth.spline objects.

### Value

`augment` returns the original data with extra columns:

`.fitted` | Fitted values of model
`.resid` | Residuals

`glance` returns one row with columns

`spar` | smoothing parameter
`lambda` | choice of lambda corresponding to `spar`
`df` | equivalent degrees of freedom
`crit` | minimized criterion
`pen.crit` | penalized criterion
`cv.crit` | cross-validation score

### Examples

    spl <- smooth.spline(mtcars$wt, mtcars$mpg, df = 4)
    head(augment(spl, mtcars))
    head(augment(spl))  # calls original columns x and y

    library(ggplot2)
    ggplot(augment(spl, mtcars), aes(wt, mpg)) +
        geom_point() + geom_line(aes(y = .fitted))

[Package broom version 0.4.2 Index]