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, ...)"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
timeSeriesTRUE.col="steelblue", in the
multivariate case we recommend to select the colors from a
color palette, e.g. col=heat.colors(ncTRUE. To plot a horizontal lines only
use grid="h" and for vertical lines use grid="h",
respectively.## qqPlot -
qqnormPlot(rnorm(100))Run the code above in your browser using DataLab