Returns quantile-quantile plots for the normal,
the normal inverse Gaussian, the generalized
hyperbolic Student-t and the generalized lambda
distribution.
List of Functions:
qqnormPlot | Returns a tailored Normal quantile-quantile plot, |
qqnigPlot | Returns a tailored NIG quantile-quantile plot, |
qqghtPlot | Returns a tailored GHT quantile-quantile plot, |
qqgldPlot | Returns a tailored GLD quantile-quantile plot. |
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 by the function as.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.
## data -
data(LPP2005REC, package = "timeSeries")
SPI <- LPP2005REC[, "SPI"]
plot(SPI, type = "l", col = "steelblue", main = "SP500")
abline(h = 0, col = "grey")
## qqPlot -
qqnormPlot(SPI)
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