| plot-methods {RobAStBase} | R Documentation |
plot-methods
plot(x, y, ...)
## S4 method for signature 'IC, missing':
plot(x, ..., withSweave = getdistrOption("withSweave"),
main = FALSE, inner = TRUE, sub = FALSE,
col.inner = par("col.main"), cex.inner = 0.8,
bmar = par("mar")[1], tmar = par("mar")[3],
mfColRow = TRUE)
x |
object of class "IC": IC to be plotted |
y |
missing |
withSweave |
logical: if TRUE (for working with Sweave)
no extra device is opened |
main |
logical: is a main title to be used? or just as argument main in plot.default. |
inner |
logical: panels have their own titles? or character vector of / cast to length number of comparands: main in plot.default) |
sub |
logical: is a sub-title to be used? or just as argument sub in plot.default. |
tmar |
top margin – useful for non-standard main title sizes |
bmar |
bottom margin – useful for non-standard sub title sizes |
cex.inner |
magnification to be used for inner titles relative
to the current setting of cex; as in
par |
col.inner |
character or integer code; color for the inner title |
mfColRow |
shall default partition in panels be used — defaults to TRUE |
... |
further parameters for plot |
Any parameters of plot.default may be passed on to this particular
plot method.
For main-, inner, and subtitles given as arguments main,
inner, and sub, top and bottom margins are enlarged to 5 resp.
6 by default but may also be specified by tmar / bmar arguments.
If main / inner / sub are
logical then if the respective argument is FALSE nothing is done/plotted,
but if it is TRUE, we use a default main title taking up the calling
arguments in case of main, default inner titles taking up the
class and (named) parameter slots of arguments in case of inner,
and a "generated on <data>"-tag in case of sub.
Of course, if main / inner / sub are character, this
is used for the title; in case of inner it is then checked whether it
has correct length. In all title arguments, the following patterns are substituted:
"%C"object"%A"object"%D"
IC1 <- new("IC")
plot(IC1)
plot(IC1, main = TRUE, panel.first= grid(),
col = "blue", cex.main = 2, cex.inner = 1)