R: Plot Two Time Series

seqplot.ts {tseries} | R Documentation

## Plot Two Time Series

### Description

Plot two time series on the same plot frame.

### Usage

    seqplot.ts(x, y, colx = "black", coly = "red", typex = "l",
               typey = "l", pchx = 1, pchy = 1, ltyx = "solid",
               ltyy = "solid", oma = c(6, 0, 5, 0), ann = par("ann"),
               xlab = "Time", ylab = deparse(substitute(x)), main = NULL)

### Arguments

`x, y` | the time series.
`colx, coly` | color code or name for the `x` and `y` series, see `colors`, `palette`.
`typex, typey` | what type of plot should be drawn for the `x` and `y` series, see `plot`.
`pchx, pchy` | character or integer code for kind of points/lines for the `x` and `y` series.
`ltyx, ltyy` | line type code for the `x` and `y` series, see `lines`.
`oma` | a vector giving the size of the outer margins in lines of text, see `par`.
`ann` | annotate the plots? See `par`.
`xlab, ylab` | titles for the x and y axis.
`main` | an overall title for the plot.

### Details

Unlike `plot.ts` the series can have different time bases, but they should have the same frequency. Unlike `ts.plot` the series can be plotted in different styles and for multivariate `x` and `y` the common variables are plotted together in a separate array element.

### Value

None.

### Author(s)

A. Trapletti

### See Also

`ts`, `plot.ts`

### Examples

    data(USeconomic)
    x <- ts.union(log(M1), log(GNP), rs, rl)
    m.ar <- ar(x, method = "ols", order.max = 5)
    y <- predict(m.ar, x, n.ahead = 200, se.fit = FALSE)
    seqplot.ts(x, y)

[Package tseries version 0.10-47 Index]