tsdiagplot

0th

Percentile

Times series diagnostic plots for a structured set of ARIMA models.

Times series diagnostic plots for a structured set of ARIMA models.

Keywords
hplot
Usage
tsdiagplot(x,
           p.max=2, q.max=p.max,
           model=c(p.max, 0, q.max), ## S-Plus
           order=c(p.max, 0, q.max), ## R
           lag.max=36, gof.lag=lag.max,
           armas=if.R(
             s=arma.loop(x, model=model,
               series=deparse(substitute(x)), ...),
             r=arma.loop(x, order=order,
               series=deparse(substitute(x)), ...)),
           diags=diag.arma.loop(armas, x,
                                lag.max=lag.max,
                                gof.lag=gof.lag),
           ts.diag=rearrange.diag.arma.loop(diags),
           lag.units=ts.diag$tspar["frequency"],
           lag.lim=range(pretty(ts.diag$acf$lag))*lag.units,
           lag.x.at=pretty(ts.diag$acf$lag)*lag.units,
           lag.x.labels={tmp <- lag.x.at
                      tmp[as.integer(tmp)!=tmp] <- ""
                      tmp},
           lag.0=TRUE,
           main, lwd=0,
           ...)

acfplot(rdal, type="acf",
        main=paste("ACF of std.resid:", rdal$series,
                   "   model:",         rdal$model),
        lag.units=rdal$tspar["frequency"],
        lag.lim=range(pretty(rdal[[type]]$lag)*lag.units),
        lag.x.at=pretty(rdal[[type]]$lag)*lag.units,
        lag.x.labels={tmp <- lag.x.at
                      tmp[as.integer(tmp)!=tmp] <- ""
                      tmp},
        lag.0=TRUE,
        xlim=xlim.function(lag.lim/lag.units),
        ...)

aicsigplot(z, z.name=deparse(substitute(z)), series.name="ts",
           model=NULL,
           xlab="", ylab=z.name,
           main=paste(z.name,  series.name, model),
           layout=c(1,2), between=list(x=1,y=1), ...)

residplot(rdal,
          main=paste("std.resid:", rdal$series,
                     "   model:",  rdal$model),
          ...)

gofplot(rdal,
        main=paste("P-value for gof:", rdal$series,
                   "   model:",         rdal$model),
       lag.units=rdal$tspar["frequency"],
        lag.lim=range(pretty(rdal$gof$lag)*lag.units),
        lag.x.at=pretty(rdal$gof$lag)*lag.units,
        lag.x.labels={tmp <- lag.x.at
                      tmp[as.integer(tmp)!=tmp] <- ""
                      tmp},
        xlim=xlim.function(lag.lim/lag.units),
        pch=16, ...)
Arguments
x
Time series vector.
p.max, q.max
Maximum number of AR and MA arguments to use in the series of ARIMA models.
model
A valid S-Plus model for#ifndef S-Plus arima.mle. #endif #ifdef S-Plus arima.mle. #endif
order
A valid R order for#ifndef S-Plus arima. #endif #ifdef S-Plus arima. #endif The additional argument seasonal may also be used.
lag.max
Maximum lag for the acf and pacf plots.
gof.lag
Maximum lag for the gof plots.
armas
An arma.loop object.
diags
An diag.arma.loop object.
ts.diag, rdal
A list constructed as a rearranged diag.arma.loop object.
lag.units
Units for time series, defaults to frequency(x)
lag.lim
scaling for xlim in acf and pacf plots.
lag.x.at, lag.x.labels
Location of ticks and labels for the acf and pacf plots.
lag.0
Logical. If TRUE, then plot the correlation (identically 1) at lag=0. If FALSE, do not plot the correlation at lag=0.
type
"acf" or "pacf"
z
A matrix constructed as the aic or sigma2 component of the sumamry of a arma.loop object.
z.name
"aic" or "sigma2"
series.name
Character string describing the time series.
xlab, ylab, layout, between, pch, xlim, main, lwd
Standard trellis arguments.
...
Additional arguments. tsdiagplot sends them to arima or arima.mle. acfplot, aicsigplot residplot, and gofplot send them to xyplot.
Value

  • tsdiagplot returns a "tsdiagplot" object which is a list of "trellis" objects. It is printed with its own print method. The other functions return "trellis" objects.

References

"Displays for Direct Comparison of ARIMA Models" The American Statistician, May 2002, Vol. 56, No. 2, pp. 131-138. Richard M. Heiberger, Temple University, and Paulo Teles, Faculdade de Economia do Porto. Richard M. Heiberger and Burt Holland (2004), Statistical Analysis and Data Display, Springer, ISBN 0-387-40270-5

See Also

tsacfplots, arma.loop

Aliases
  • tsdiagplot
  • acfplot
  • aicsigplot
  • residplot
  • gofplot
Examples
data(tser.mystery.X)
X <- tser.mystery.X

X.dataplot <- tsacfplots(X, lwd=1, pch.seq=16, cex=.7)
X.dataplot

X.loop <- if.R(
               s=
               arma.loop(X, model=list(order=c(2,0,2)))
               ,r=
               arma.loop(X, order=c(2,0,2))
               )
X.dal <- diag.arma.loop(X.loop, x=X)
X.diag <- rearrange.diag.arma.loop(X.dal)
X.diagplot <- tsdiagplot(armas=X.loop, ts.diag=X.diag, lwd=1)
X.diagplot

X.loop
X.loop[["1","1"]]
Documentation reproduced from package HH, version 3.0-4, License: GPL (>= 2)

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