<!DOCTYPE html><html><head><title>R: Exoplanets Data</title>
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<table style="width: 100%;"><tr><td>planets</td><td style="text-align: right;">R Documentation</td></tr></table>
<h2> Exoplanets Data </h2>
<h3>Description</h3>
<p>Data on planets outside the Solar System.
</p>
<h3>Usage</h3>
<pre><code class='language-R'>data("planets")</code></pre>
<h3>Format</h3>
<p>A data frame with 101 observations from 101 exoplanets
on the following 3 variables.
</p>
<dl>
<dt>mass</dt><dd><p>Jupiter mass of the planet.</p>
</dd>
<dt>period</dt><dd><p>period in earth days.</p>
</dd>
<dt>eccen</dt><dd><p>the radial eccentricity of the planet.</p>
</dd>
</dl>
<h3>Details</h3>
<p>From the properties of the exoplanets found up to now it
appears that the theory of planetary development constructed
for the planets of the Solar System may need to be reformulated.
The exoplanets are not at all like the nine local planets that
we know so well. A first step in the process of understanding
the exoplanets might be to try to classify them with respect
to their known properties.
</p>
<h3>Source</h3>
<p>M. Mayor and P. Frei (2003). <em>New Worlds in the Cosmos:
The Discovery of Exoplanets</em>. Cambridge University Press,
Cambridge, UK.
</p>
<h3>Examples</h3>
<pre><code class='language-R'>
data("planets", package = "HSAUR")
require("scatterplot3d")
scatterplot3d(log(planets$mass), log(planets$period), log(planets$eccen),
type = "h", highlight.3d = TRUE, angle = 55,
scale.y = 0.7, pch = 16)
</code></pre>
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