Plot time series against lagged versions of themselves. Helps visualizing ‘auto-dependence’ even when auto-correlations vanish.
lag.plot(x, lags = 1, layout = NULL, set.lags = 1:lags,
main = NULL, asp = 1,
diag = TRUE, diag.col = "gray", type = "p", oma = NULL,
ask = NULL, do.lines = (n
time-series (univariate or multivariate)
number of lag plots desired, see arg set.lags
.
vector of positive integers allowing specification of
the set of lags used; defaults to 1:lags
.
character with a main header title to be done on the top of each page.
Aspect ratio to be fixed, see plot.default
.
logical indicating if the x=y diagonal should be drawn.
color to be used for the diagonal if(diag)
.
plot type to be used, but see plot.ts
about
its restricted meaning.
outer margins, see par
.
logical or NULL
; if true, the user is asked to
confirm before a new page is started.
logical indicating if lines should be drawn.
logical indicating if labels should be used.
Further arguments to plot.ts
. Several
graphical parameters are set in this function and so cannot be
changed: these include xlab
, ylab
, mgp
,
col.lab
and font.lab
: this also applies to the
arguments xy.labels
and xy.lines
.
If just one plot is produced, this is a conventional plot. If more
than one plot is to be produced, par(mfrow)
and several other
graphics parameters will be set, so it is not (easily) possible to mix
such lag plots with other plots on the same page.
If ask = NULL
, par(ask = TRUE)
will be called if more than
one page of plots is to be produced and the device is interactive.
plot.ts
which is the basic work horse.
# NOT RUN {
require(graphics)
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! ...)
lag.plot(freeny.x, lags = 3)
## no lines for long series :
lag.plot(sqrt(sunspots), set = c(1:4, 9:12), pch = ".", col = "gold")
# }
Run the code above in your browser using DataLab