Plotting method for objects inheriting from class `"ts"`

.

```
# S3 method for ts
plot(x, y = NULL, plot.type = c("multiple", "single"),
xy.labels, xy.lines, panel = lines, nc, yax.flip = FALSE,
mar.multi = c(0, 5.1, 0, if(yax.flip) 5.1 else 2.1),
oma.multi = c(6, 0, 5, 0), axes = TRUE, …)
```# S3 method for ts
lines(x, …)

x, y

time series objects, usually inheriting from class `"ts"`

.

plot.type

for multivariate time series, should the series by plotted separately (with a common time axis) or on a single plot? Can be abbreviated.

xy.labels

logical, indicating if `text()`

labels
should be used for an x-y plot, *or* character, supplying a
vector of labels to be used. The default is to label for up to 150
points, and not for more.

xy.lines

logical, indicating if `lines`

should be drawn for an x-y plot. Defaults to the value of
`xy.labels`

if that is logical, otherwise to `TRUE`

.

panel

a `function(x, col, bg, pch, type, ...)`

which gives the
action to be carried out in each panel of the display for
`plot.type = "multiple"`

. The default is `lines`

.

nc

the number of columns to use when `type = "multiple"`

.
Defaults to 1 for up to 4 series, otherwise to 2.

yax.flip

logical indicating if the y-axis (ticks and numbering)
should flip from side 2 (left) to 4 (right) from series to series
when `type = "multiple"`

.

mar.multi, oma.multi

the (default) `par`

settings
for `plot.type = "multiple"`

. Modify with care!

axes

logical indicating if x- and y- axes should be drawn.

…

additional graphical arguments, see `plot`

,
`plot.default`

and `par`

.

If `y`

is missing, this function creates a time series
plot, for multivariate series of one 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.

# NOT RUN { require(graphics) ## Multivariate z <- ts(matrix(rt(200 * 8, df = 3), 200, 8), start = c(1961, 1), frequency = 12) plot(z, yax.flip = TRUE) plot(z, axes = FALSE, ann = FALSE, frame.plot = TRUE, mar.multi = c(0,0,0,0), oma.multi = c(1,1,5,1)) title("plot(ts(..), axes=FALSE, ann=FALSE, frame.plot=TRUE, mar..., oma...)") z <- window(z[,1:3], end = c(1969,12)) plot(z, type = "b") # multiple plot(z, plot.type = "single", lty = 1:3, col = 4:2) ## A phase plot: plot(nhtemp, lag(nhtemp, 1), cex = .8, col = "blue", main = "Lag plot of New Haven temperatures") ## xy.lines and xy.labels are FALSE for large series: plot(lag(sunspots, 1), sunspots, pch = ".") 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) # }

Run the code above in your browser using DataCamp Workspace