Description Usage Arguments Details Author(s) See Also Examples

Plotting a unimodal regression object.

1 2 |

`x` |
Object of class |

`onlySpline` |
Logical indicating whether only the fitted spline or also the original data points should be plotted. Defaults to FALSE (plotting both). |

`type` |
Per default plotting type |

`xlab` |
Per default the x-axis is labelled with "x". |

`ylab` |
If the user does not specify a label for the y-axis, that is when |

`col` |
Colour of the spline function to be plotted (default: black). |

`...` |
other parameters to be passed through to the generic |

This is a plot method for unimodal regression objects. The spline function is plotted using a grid of x-values equally spaced across the interval on which the spline is defined. The distance between the grid values is given by the minimal distance of the observed x-values (used for fitting) divided by 10.

Claudia Koellmann

`unireg`

,`predict.unireg`

,`points.unireg`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
x <- sort(rep(0:5,20))
n <- length(x)
set.seed(41333)
func <- function(mu){rnorm(1,mu,0.05)}
y <- sapply(dchisq(x,3),func)
# fit with default settings
fit <- unireg(x, y, g=5)
# short overview of the fitted spline
fit
# plot of fitted spline with and without data
plot(fit, col="orange")
plot(fit, onlySpline=TRUE)
``` |

```
Fitted unimodal spline of degree 3 with difference penalty of order 2
Coefficients -0.21 0.03 0.23 0.23 0.18 0.13 0.09 0.07 0.05
Mode of coefficients 3 4
Tuning parameter 20.09
Variance estimate 0
```

uniReg documentation built on May 29, 2017, 8:30 p.m.

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