B_01_xyplot.ts {lattice} | R Documentation

## Time series plotting methods

### Description

This function handles time series plotting, including cut-and-stack plots. Examples are given of superposing, juxtaposing and styling different time series.

### Usage

    ## S3 method for class 'ts'
    xyplot(x, data = NULL,
           screens = if (superpose) 1 else colnames(x),
           ...,
           superpose = FALSE,
           cut = FALSE,
           type = "l",
           col = NULL,
           lty = NULL,
           lwd = NULL,
           pch = NULL,
           cex = NULL,
           fill = NULL,
           auto.key = superpose,
           panel = if (superpose) "panel.superpose"
                   else "panel.superpose.plain",
           par.settings = list(),
           layout = NULL, as.table = TRUE,
           xlab = "Time", ylab = NULL,
           default.scales = list(y = list(relation =
               if (missing(cut)) "free" else "same")))

### Arguments

`x` | an object of class `ts`, which may be multi-variate, i.e. have a matrix structure with multiple columns.
`data` | not used, and must be left as `NULL`.
`...` | additional arguments passed to `xyplot`, which may pass them on to `panel.xyplot`.
`screens` | factor (or coerced to factor) whose levels specify which panel each series is to be plotted in. `screens = c(1, 2, 1)` would plot series 1, 2 and 3 in panels 1, 2 and 1. May also be a named list, see Details below.
`superpose` | overlays all series in one panel (via `screens = 1`) and uses grouped style settings (from `trellis.par.get("superpose.line")`, etc). Note that this is just a convenience argument: its only action is to change the default values of other arguments.
`cut` | defines a cut-and-stack plot. `cut` can be a `list` of arguments to the function `equal.count`, i.e. `number` (number of intervals to divide into) and `overlap` (the fraction of overlap between cuts, default 0.5). If `cut` is numeric this is passed as the `number` argument. `cut = TRUE` tries to choose an appropriate number of cuts (up to a maximum of 6), using `banking`, and assuming a square plot region. This should have the effect of minimising wasted space when `aspect = "xy"`.
`type, col, lty, lwd, pch, cex, fill` | graphical arguments, which are processed and eventually passed to `panel.xyplot`. These arguments can also be vectors or (named) lists, see Details for more information.
`auto.key` | a logical, or a list describing how to draw a key. See the `auto.key` entry in `xyplot`. The default here is to draw lines, not points, and any specified style arguments should show up automatically.
`panel` | the panel function. It is recommended to leave this alone, but one can pass a `panel.groups` argument which is handled by `panel.superpose` for each series.
`par.settings` | style settings beyond the standard `col`, `lty`, `lwd`, etc; see `trellis.par.set` and `simpleTheme`.
`layout` | numeric vector of length 2 specifying number of columns and rows in the plot. The default is to fill columns with up to 6 rows.
`as.table` | to draw panels from top to bottom. The order is determined by the order of columns in `x`.
`xlab, ylab` | X axis and Y axis labels; see `xyplot`. Note in particular that `ylab` may be a character vector, in which case the labels are spaced out equally, to correspond to the panels; but NOTE in this case the vector should be reversed OR the argument `as.table` set to `FALSE`.
`default.scales` | `scales` specification. The default is set to have `"free"` Y axis scales unless `cut` is given. Note, users should pass the `scales` argument rather than `default.scales`.

### Details

The handling of several graphical parameters is more flexible for multivariate series. These parameters can be vectors of the same length as the number of series plotted or are recycled if shorter. They can also be (partially) named list, e.g., `list(A = c(1,2), c(3,4))` in which `c(3, 4)` is the default value and `c(1, 2)` the value only for series `A`. The `screens` argument can be specified in a similar way.

Some examples are given below.

### Value

An object of class `"trellis"`. The `update` method can be used to update components of the object and the `print` method (usually called by default) will plot it on an appropriate plotting device.

### Author(s)

Gabor Grothendieck, Achim Zeileis, Deepayan Sarkar and Felix Andrews felix@nfrac.org.

The first two authors developed `xyplot.ts` in their zoo package, including the `screens` approach. The third author developed a different `xyplot.ts` for cut-and-stack plots in the latticeExtra package. The final author fused these together.

### References

Sarkar, Deepayan (2008) Lattice: Multivariate Data Visualization with R, Springer. http://lmdvr.r-forge.r-project.org/ (cut-and-stack plots)

### See Also

`xyplot`, `panel.xyplot`, `plot.ts`, `ts`, `xyplot.zoo` in the zoo package.

### Examples

    xyplot(ts(c(1:10,10:1)))

    ### Figure 14.1 from Sarkar (2008)
    xyplot(sunspot.year, aspect = "xy",
           strip = FALSE, strip.left = TRUE,
           cut = list(number = 4, overlap = 0.05))

    ### A multivariate example; first juxtaposed, then superposed
    xyplot(EuStockMarkets, scales = list(y = "same"))
    xyplot(EuStockMarkets, superpose = TRUE, aspect = "xy", lwd = 2,
        type = c("l","g"), ylim = c(0, max(EuStockMarkets)))

    ### Examples using screens (these two are identical)
    xyplot(EuStockMarkets, screens = c(rep("Continental", 3), "UK"))
    xyplot(EuStockMarkets, screens = list(FTSE = "UK", "Continental"))

    ### Automatic group styles
    xyplot(EuStockMarkets, screens = list(FTSE = "UK", "Continental"),
        superpose = TRUE)

    xyplot(EuStockMarkets, screens = list(FTSE = "UK", "Continental"),
        superpose = TRUE, xlim = extendrange(1996:1998),
        par.settings = standard.theme(color = FALSE))

    ### Specifying styles for series by name
    xyplot(EuStockMarkets, screens = list(FTSE = "UK", "Continental"),
        col = list(DAX = "red", FTSE = "blue", "black"), auto.key = TRUE)

    xyplot(EuStockMarkets, screens = list(FTSE = "UK", "Continental"),
        col = list(DAX = "red"), lty = list(SMI = 2), lwd = 1:2,
        auto.key = TRUE)

    ### Example with simpler data, few data points
    set.seed(1)
    z <- ts(cbind(a = 1:5, b = 11:15, c = 21:25) + rnorm(5))
    xyplot(z, screens = 1)
    xyplot(z, screens = list(a = "primary (a)", "other (b & c)"),
      type = list(a = c("p", "h"), b = c("p", "s"), "o"),
      pch = list(a = 2, c = 3), auto.key = list(type = "o"))

[Package lattice version 0.20-6 Index]