Takes a fitted `FDboost`

-object produced by `FDboost()`

and
plots the fitted effects or the coefficient-functions/surfaces.

```
# S3 method for FDboost
plot(
x,
raw = FALSE,
rug = TRUE,
which = NULL,
includeOffset = TRUE,
ask = TRUE,
n1 = 40,
n2 = 40,
n3 = 20,
n4 = 11,
onlySelected = TRUE,
pers = FALSE,
commonRange = FALSE,
...
)
```plotPredicted(
x,
subset = NULL,
posLegend = "topleft",
lwdObs = 1,
lwdPred = 1,
...
)

plotResiduals(x, subset = NULL, posLegend = "topleft", ...)

x

a fitted `FDboost`

-object

raw

logical defaults to `FALSE`

.
If `raw = FALSE`

for each effect the estimated function/surface is calculated.
If `raw = TRUE`

the coefficients of the model are returned.

rug

when `TRUE`

(default) then the covariate to which the plot applies is
displayed as a rug plot at the foot of each plot of a 1-d smooth,
and the locations of the covariates are plotted as points on the contour plot
representing a 2-d smooth.

which

a subset of base-learners to take into account for plotting.

includeOffset

logical, defaults to `TRUE`

. Should the offset be included in
the plot of the intercept (default) or should it be plotted separately.

ask

logical, defaults to `TRUE`

, if several effects are plotted the user
has to hit Return to see next plot.

n1

see below

n2

see below

n3

n1, n2, n3 give the number of grid-points for 1-/2-/3-dimensional smooth terms used in the marginal equidistant grids over the range of the covariates at which the estimated effects are evaluated.

n4

gives the number of points for the third dimension in a 3-dimensional smooth term

onlySelected,

logical, defaults to `TRUE`

. Only plot effects that where
selected in at least one boosting iteration.

pers

commonRange

logical, defaults to `FALSE`

,
if `TRUE`

the range over all effects is the same
(does not affect perspecitve or image plots).

...

other arguments, passed to `funplot`

(only used in plotPredicted)

subset

subset of the observed response curves and their predictions that is plotted. Per default all observations are plotted.

posLegend

location of the legend, if a legend is drawn automatically (only used in plotPredicted). The default is "topleft".

lwdObs

lwd of observed curves (only used in plotPredicted)

lwdPred

lwd of predicted curves (only used in plotPredicted)

`FDboost`

for the model fit and
`coef.FDboost`

for the calculation of the coefficient functions.