plot.windrose {oce} | R Documentation

## Plot a wind rose diagram

### Description

Plot a wind-rose diagram

### Usage

    ## S4 method for signature 'windrose'
    plot(x, type=c("count","mean","median","fivenum"),
                  convention=c("meteorological", "oceanographic"),
                  mgp=getOption("oceMgp"),
                  mar=c(mgp[1], mgp[1], 1+mgp[1], mgp[1]), col, ...)

### Arguments

`x` | a `windrose` object, e.g. as created by `as.windrose`.
`type` | the thing to be plotted, either the number of counts in the angle interval, the mean of the values in the interval, the median of the values, or a `fivenum` representation of the values.
`convention` | string indicating whether to use meteorological convention or oceanographic convention for the arrows that emanate from the centre of the rose. In meteorological convenction, an arrow emanates towards the right on the diagram if the wind is from the east; in oceanographic convention, such an arrow indicates flow to the east.
`mgp` | 3-element numerical vector to use for `par(mgp)`, and also for `par(mar)`, computed from this. The default is tighter than the R default, in order to use more space for the data and less for the axes.
`mar` | value to be used with `par("mar")`.
`col` | an optional list of colours to use. If not set, the colours will be `c("red", "pink", "blue", "lightgray")`. For the first three types of plot, the first colour in this list is used to fill in the rose, the third is used for the petals of the rose, and the fourth is used for grid lines. For the `"fivenum"` type, the first colour is used for the inter-quartile range, the second is used outside this range, the third is used for the median, and the fourth is, again, used for the grid lines.
`...` | optional arguments passed to plotting functions.

### Details

Creates a wind-rose diagram.

### Author(s)

Dan Kelley

### See Also

`as.windrose` creates a wind-rose object, and `summary.windrose` produces a numerical summary.

### Examples

    library(oce)
    opar <- par(no.readonly = TRUE)
    xcomp <- rnorm(360) + 1
    ycomp <- rnorm(360)
    wr <- as.windrose(xcomp, ycomp)
    par(mfrow=c(1,2))
    plot(wr)
    plot(wr, "fivenum")
    par(opar)

[Package oce version 0.9-18 Index]