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, |
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, ...)"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.
TRUE.
col="steelblue", in the
multivariate case we recommend to select the colors from a
color palette, e.g. col=heat.colors(ncol(x)).
TRUE. To plot a horizontal lines only
use grid="h" and for vertical lines use grid="h",
respectively.
## data -
SPI <- LPP2005REC[, "SPI"]
plot(SPI, type = "l", col = "steelblue", main = "SP500")
abline(h = 0, col = "grey")
## qqPlot -
qqnormPlot(SPI)
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