lag.plot {stats}R Documentation

Time Series Lag Plots

Description

Plot time series against lagged versions of themselves. Helps visualizing “auto-dependence” even when auto-correlations vanish.

Usage

lag.plot(x, lags = 1, layout = NULL, set.lags = 1:lags,
         main = NULL, asp = 1,
         font.main=par("font.main"), cex.main=par("cex.main"),
         diag = TRUE, diag.col="gray", type="p", oma =NULL, ask =NULL,
         do.lines = n <= 150, labels = do.lines, ...)

Arguments

x time-series (univariate or multivariate)
lags number of lag plots desired, see arg set.lags.
layout the layout of multiple plots, basically the mfrow par() argument. The default uses about a square layout (see n2mfrow such that all plots are on one page.
set.lags positive integer vector allowing to specify the set of lags used; defaults to 1:lags.
main character with a main header title to be done on the top of each page.
asp Aspect ratio to be fixed, see plot.default.
font.main, cex.main attributes for the title, see par().
diag logical indicating if the x=y diagonal should be drawn.
diag.col color to be used for the diagonal if(diag).
type plot type to be used, but see plot.ts about its restricted meaning.
oma outer margins, see par.
ask logical; if true, the user is asked before a new page is started.
do.lines logical indicating if lines should be drawn.
labels logical indicating if labels should be used.
... Further arguments to plot.ts.

Note

It is more flexible and has different default behaviour than the S version. We use main = instead of head = for internal consistency.

Author(s)

Martin Maechler

See Also

plot.ts which is the basic work horse.

Examples

data(nhtemp)
lag.plot(nhtemp, 8, diag.col = "forest green")
lag.plot(nhtemp, 5, main="Average Temperatures in New Haven")
## ask defaults to TRUE when we have more than one page:
lag.plot(nhtemp, 6, layout = c(2,1), asp = NA,
         main = "New Haven Temperatures", col.main = "blue")

## Multivariate (but non-stationary! ...)
data(freeny)
lag.plot(freeny.x, lag = 3)
## Not run: 
data(sunspots) # no lines for long series :
lag.plot(sqrt(sunspots), set = c(1:4, 9:12), pch = ".", col = "gold")
## End(Not run)
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