stat_spoke

The aesthetic mapping, usually constructed with
<code><a href="/link/aes?package=ggplot2&version=1.0.0" rd-options="" data-mini-rdoc="ggplot2::aes">aes</a></code> or <code><a href="/link/aes_string?package=ggplot2&version=1.0.0" rd-options="" data-mini-rdoc="ggplot2::aes_string">aes_string</a></code>. Only needs to be set
at the layer level if you are overriding the plot defaults.

mapping

A layer specific dataset - only needed if you want to override
the plot defaults.

data

The geometric object to use display the data

geom

The position adjustment to use for overlappling points
on this layer

position

other arguments passed on to <code><a href="/link/layer?package=ggplot2&version=1.0.0" rd-options="" data-mini-rdoc="ggplot2::layer">layer</a></code>. This can
include aesthetics whose values you want to set, not map. See
<code><a href="/link/layer?package=ggplot2&version=1.0.0" rd-options="" data-mini-rdoc="ggplot2::layer">layer</a></code> for more details.

Convert angle and radius to xend and yend.

An implementation of the grammar of graphics
    in R. It combines the advantages of both base and
    lattice graphics: conditioning and shared axes are
    handled automatically, and you can still build up a
    plot step by step from multiple data sources. It also
    implements a sophisticated multidimensional
    conditioning system and a consistent interface to map
    data to aesthetic attributes. See the ggplot2 website
    for more information, documentation and examples.

Hadley Wickham

ggplot2

An implementation of the Grammar of Graphics

stat_spoke function

<sexpr>[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "spoke")}</sexpr>
<examples>df &lt;- expand.grid(x = 1:10, y=1:10)
df$angle &lt;- runif(100, 0, 2*pi)
df$speed &lt;- runif(100, 0, 0.5)qplot(x, y, data=df) + stat_spoke(aes(angle=angle), radius = 0.5)
last_plot() + scale_y_reverse()qplot(x, y, data=df) + stat_spoke(aes(angle=angle, radius=speed))</examples>

stat_spoke: Convert angle and radius to xend and yend.

Description

Usage

Arguments

Value

Aesthetics