seriesPlot Returns a tailored return series plot,
cumulatedPlot Displays a cumulated series given the returns,
returnPlot Displays returns given the cumulated series,
drawdownPlot Displays drawdowns given the return series.}seriesPlot(x, labels = TRUE, type = "l", col = "steelblue",
title = TRUE, grid = TRUE, box = TRUE, rug = TRUE, ...)
cumulatedPlot(x, index = 100, labels = TRUE, type = "l", col = "steelblue",
title = TRUE, grid = TRUE, box = TRUE, rug = TRUE, ...)
returnPlot(x, labels = TRUE, type = "l", col = "steelblue",
title = TRUE, grid = TRUE, box = TRUE, rug = TRUE, ...)
drawdownPlot(x, labels = TRUE, type = "l", col = "steelblue",
title = TRUE, grid = TRUE, box = TRUE, rug = TRUE, ...)TRUE.col="steelblue", in the
multivariate case we recommend to select the colors from a
color palette, e.g. col=heat.colors(ncTRUE.index*exp(colCumsums(x)).TRUE.type="l". An alternative plot style which produces nice
figures is for example type="h"."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
timeSeriestimeSeries.
The graphical parameters type and col can be set by the
values specified through the argument list. In the case of multivariate
time series col can be specified by the values returned by
a color palette.
Automated titles including main title, x- and y-lables, grid lines,
box style and rug represenatations cann be selected by setting these
arguments to TRUE which is the default. If the title flag
is unset, then the main title, x-, and y-labels are empty strings.
This allows to set user defined labels with the function title
after the plot is drawn.
Beside type, col, main, xlab and
ylab, all other par arguments can be passed to the
plot function.
If the labels flag is unset to FALSE, then no decorations
will be added tothe plot, and the plot can be fully decorated by the
user.## seriesPlot -
tS = as.timeSeries(data(LPP2005REC))
seriesPlot(tS)Run the code above in your browser using DataLab