plot-methods {capushe} | R Documentation |
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
.
x |
|
newwindow |
If |
ask |
If |
The graphical window of DDSE
is composed of three graphics (see DDSE
for more details):
The left plot shows -γ_n(\hat{s}_m) with respect to the penalty shape values.
Successive slope values \hat{κ}(p).
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(κ)} of
the selected model with respect to κ. \hat{κ}^{dj} corresponds
to the greatest jump. κ_{opt} is defined by κ_{opt}=scoef\times \hat{κ}^{dj}.
The red line represents the slope interval computed by the DDSE
algorithm
(only for capushe
). See Djump
for more details.
signature(x = "Capushe")
This graphical function displays the DDSE
plot and the Djump
plot.
signature(x = "DDSE")
This graphical function displays the DDSE
plot.
signature(x = "Djump")
This graphical function displays the Djump
plot.
Use newwindow
=FALSE
to produce a PDF files (for an object of class
capushe
, use moreover ask
=FALSE
).