| plot.PP {QRMlib} | R Documentation |
creates a picture of an unmarked point process.
## S3 method for class 'PP': plot(x, ...)
x |
a point process object of class PP which must be unmarked |
... |
further parameters which may be passed to the plot function (see R help about the plot function for further information) |
Creates an appropriate plot on graphical device. The input variable x will be internally separated into starttime and endtime values to pass to plot.stepfun()
documentation by Scott Ulman for R-language distribution
data(sp500);
sp500.nreturns <- -mk.returns(sp500);
window <- (seriesPositions(sp500.nreturns) >
timeDate("1995-12-31",format = "%Y-%m-%d")) &
(seriesPositions(sp500.nreturns) <
timeDate("2004-01-01",format = "%Y-%m-%d"));
sp500.nreturns <- sp500.nreturns[window];
#The following functions are contained in functionsHawkes.R.
#Plot the 100 largest exceedances. Create an MPP (marked point process) class
tmp <- extremalPP(sp500.nreturns,ne=100);
#Be sure to graph with plot.PP instead of plot.MPP:
tmp2 <- unmark(tmp);
plot.PP(tmp2);