plot-methods {capushe} | R Documentation |
Plot for capushe
Description
The plot methods allow the user to check that the slope heuristics can be applied confidently.
Usage
plot(x,newwindow=TRUE,ask=TRUE) for capushe
.
plot(x,newwindow=TRUE) for DDSE
and Djump
.
Arguments
x |
|
newwindow |
If |
ask |
If |
Details
The graphical window of DDSE
is composed of three graphics (see DDSE
for more details):
- left
The left plot shows
-\gamma_n(\hat{s}_m)
with respect to the penalty shape values.- topright
Successive slope values
\hat{\kappa}(p)
.- bottomright
The bottomright plot shows the selected models
\hat{m}(p)
with respect to the successive slope values. The plateau in blue is selected.
The graphical window of Djump
shows the complexity C_{m(\kappa)}
of
the selected model with respect to \kappa
. \hat{\kappa}^{dj}
corresponds
to the greatest jump. \kappa_{opt}
is defined by \kappa_{opt}=scoef\times \hat{\kappa}^{dj}
.
The red line represents the slope interval computed by the DDSE
algorithm
(only for capushe
). See Djump
for more details.
Methods
signature(x = "Capushe")
This graphical function displays the
DDSE
plot and theDjump
plot.signature(x = "DDSE")
This graphical function displays the
DDSE
plot.signature(x = "Djump")
This graphical function displays the
Djump
plot.
Note
Use newwindow
=FALSE
to produce a PDF files (for an object of class
capushe
, use moreover ask
=FALSE
).