R: Fanchart plot for objects of class varprd

fanchart {vars} | R Documentation

## Fanchart plot for objects of class varprd

### Description

Time Series plots of VAR forecasts with differently shaded confidence regions (fanchart) for each endogenous variable.

### Usage

    fanchart(x, colors = NULL, cis = NULL, names = NULL, main = NULL, ylab =
    NULL, xlab = NULL, col.y = NULL, nc, plot.type = c("multiple",
    "single"), mar = par("mar"), oma = par("oma"), ... )

### Arguments

`x` | An object of class ‘`varprd`’; generated by `predict()`.
`colors` | Character vector of colors to be used for shading. If unset, a gray color scheme is used.
`cis` | A numeric vector of confidence intervals. If unset the sequence from 0.1 to 0.9 is used (step size 0.1).
`names` | Character vector, names of variables for fancharts. If unset, all variables are plotted.
`main` | Character vector, title for fanchart plots.
`ylab` | Character, ylab for fanchart.
`xlab` | Character, xlab for fanchart.
`col.y` | Character, color for plotted time series.
`plot.type` | Character, if multiple all fancharts appear in one device.
`nc` | Integer, number of columns if plot.type is multiple.
`mar` | Vector, setting of margins.
`oma` | Vector, setting of outer margins.
`...` | Dot argument, passed to plot.ts.

### Author(s)

Bernhard Pfaff

### References

Britton, E., P.G. Fisher and J.D. Whitley (1998), Inflation Report projections: understanding the fan chart, Bank of England Quarterly Bulletin, February, Bank of England, pages 30-37.

### See Also

`VAR`, `predict`, `plot`, `par`

### Examples

    ## Not run:
    data(Canada)
    var.2c <- VAR(Canada, p = 2, type = "const")
    var.2c.prd <- predict(var.2c, n.ahead = 8, ci = 0.95)
    fanchart(var.2c.prd)

    ## End(Not run)

[Package vars version 1.5-3 Index]