Returns quantile-quantile plots for the normal, the normal inverse Gaussian, the generalized hyperbolic Student-t and the generalized lambda distribution.
qqnormPlot(x, labels = TRUE, col = "steelblue", pch = 19,
title = TRUE, mtext = TRUE, grid = FALSE, rug = TRUE,
scale = TRUE, ...)
qqnigPlot(x, labels = TRUE, col = "steelblue", pch = 19,
title = TRUE, mtext = TRUE, grid = FALSE, rug = TRUE,
scale = TRUE, ...)
qqghtPlot(x, labels = TRUE, col = "steelblue", pch = 19,
title = TRUE, mtext = TRUE, grid = FALSE, rug = TRUE,
scale = TRUE, ...)
qqgldPlot(x, labels = TRUE, col = "steelblue", pch = 19,
title = TRUE, mtext = TRUE, grid = FALSE, rug = TRUE,
scale = TRUE, ...)
displays a quantile-quantile plot.
an object of class "timeSeries"
or any other object which can
be transformed byas.timeSeries
into an object of class
"timeSeries"
. The latter case, other then "timeSeries"
objects, is more or less untested.
a logical flag, should the plot be returned with default labels and
decorated in an automated way? By default TRUE
.
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(ncol(x))
.
an integer value, by default 19. Which plot character should be used in the plot?
a logical flag, by default TRUE
. Should a default title added
to the plot?
a logical flag, by default TRUE
. Should a marginal text be
printed on the third site of the graph?
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.
a logical flag, by default TRUE
. Should a rug representation
of the data added to the plot?
a logical flag, by default TRUE
. Should the time series be
scaled for the investigation?
optional arguments to be passed.
Diethelm Wuertz for the Rmetrics R-port.
List of Functions:
qqnormPlot Produces a tailored Normal quantile-quantile plot, | qqnigPlot Produces a tailored NIG quantile-quantile plot, |
qqghtPlot Produces a tailored GHT quantile-quantile plot, | qqgldPlot Produces a tailored GLD quantile-quantile plot. |
## data
data(LPP2005REC, package = "timeSeries")
SPI <- LPP2005REC[, "SPI"]
plot(SPI, type = "l", col = "steelblue", main = "SP500")
abline(h = 0, col = "grey")
qqnormPlot(SPI)
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