Usage
histPlot(x, labels = TRUE, col = "steelblue", fit = TRUE,
title = TRUE, grid = TRUE, rug = TRUE, skip = FALSE, ...)
densityPlot(x, labels = TRUE, col = "steelblue", fit = TRUE, hist = TRUE,
title = TRUE, grid = TRUE, rug = TRUE, skip = FALSE, ...)
logDensityPlot(x, labels = TRUE, col = "steelblue", robust = TRUE,
title = TRUE, grid = TRUE, rug = TRUE, skip = FALSE, ...)
Arguments
col
the color for the series. In the univariate case use just a
color name like the default, col="steelblue"
, in the
multivariate case we recommend to select the colors from a
color palette, e.g. col=heat.colors(nc
fit
a logical flag, should a fit added to the Plot?
grid
a logical flag, should a grid be added to the plot?
By default TRUE
. To plot a horizontal lines only
use grid="h"
and for vertical lines use grid="h"
,
respectively.
hist
a logical flag, by default TRUE. Should a histogram to be
underlaid to the plot?
labels
a logical flag, should the plot be returned with default labels
and decorated in an automated way? By default TRUE
.
rug
a logical flag, by default TRUE. Should a rug representation
of the data added to the plot?
skip
a logical flag, should zeros be skipped in the return Series?
robust
a logical flag, by default TRUE. Should a robust fit added to
the plot?
title
a logical flag, by default TRUE. Should a default title added
to the plot?
x
an object of class "timeSeries"
or any other object which
can be transformed by the function as.timeSeries
into an
object of class timeSeries
. The latter case, other then
timeSeries
...
optional arguments to be passed.