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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