| plot.ts {base} | R Documentation |
Plotting methods for objects of class "ts" or "mts"
(multivariate time-series).
plot(x, y = NULL, type = "l", xlim = NULL, ylim = NULL,
xlab = "Time", ylab, log = "",
col = par("col"), bg = NA, pch = par("pch"), cex = par("cex"),
lty = par("lty"), lwd = par("lwd"),
axes = TRUE, frame.plot = axes, ann = par("ann"),
main = NULL, plot.type = c("multiple", "single"),
xy.labels = n <= 150, xy.lines = do.lab, ...)
lines(x, ...)
x,y |
time series objects, usually of class "ts". |
type |
the type of plot, see plot. When y
is present, the default will depend on xy.labels, see below. |
plot.type |
for multivariate time series, should the series by plotted separately (with a common time axis) or on a single plot? |
xy.labels |
logical, indicating if text() labels
should be used for an x-y plot. |
xy.lines |
logical, indicating if lines
should be drawn for an x-y plot. Default is true, when labels are
drawn as well. |
... |
additional graphical arguments, see plot,
plot.default and par. |
With one prinicipal argument, these functions create time series
plots, for multivariate series of two kinds depending on plot.type,
If y is present, both x and y must be univariate,
and a ``scatter'' plot y ~ x will be drawn, enhanced by
using text if xy.labels is
TRUE or character, and lines if
xy.lines is TRUE.
ts for basic time series construction and access
functionality.
## Multivariate
z <- ts(matrix(rt(300, df = 3), 100, 3), start=c(1961, 1), frequency=12)
plot(z)# multiple
plot(z, plot.type="single", lty=1:3)
## A phase plot:
data(nhtemp)
plot(nhtemp, c(nhtemp[-1], NA), cex = .8, col="blue",
main = "Lag plot of New Haven temperatures")
## a clearer way to do this would be
library(ts)
plot(nhtemp, lag(nhtemp, 1), cex = .8, col="blue",
main = "Lag plot of New Haven temperatures")
library(ts)
data(sunspots)
## xy.lines and xy.labels are FALSE for large series:
plot(lag(sunspots, 1), sunspots, pch = ".")
data(EuStockMarkets)
SMI <- EuStockMarkets[, "SMI"]
plot(lag(SMI, 1), SMI, pch = ".")
plot(lag(SMI, 20), SMI, pch = ".", log = "xy",
main = "4 weeks lagged SMI stocks -- log scale", xy.lines= TRUE)
detach("package:ts")