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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