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<table width="100%" summary="page for ppinit {spatial}"><tr><td>ppinit {spatial}</td><td align="right">R Documentation</td></tr></table>
<h2>Read a Point Process Object from a File</h2>


<h3>Description</h3>

<p>
Read a file in standard format and create a point process object.
</p>


<h3>Usage</h3>

<pre>
ppinit(file)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>file</code></td>
<td>
string giving file name
</td></tr>
</table>

<h3>Details</h3>

<p>
The file should contain
</p>
<p>
the number of points<br>
a header (ignored)<br>
xl xu yl yu scale<br>
x y (repeated n times)<br>
</p>


<h3>Value</h3>

<p>
class <code>"pp"</code> object with components <code>x</code>, <code>y</code>,
<code>xl</code>, <code>xu</code>, <code>yl</code>, <code>yu</code></p>

<h3>Side Effects</h3>

<p>
Calls <code>ppregion</code> to set the domain.
</p>


<h3>References</h3>

<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition.  Springer.
</p>


<h3>See Also</h3>

<p>
<code><a href="ppregion.html">ppregion</a></code>
</p>


<h3>Examples</h3>

<pre>
towns &lt;- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 10), type="b", xlab="distance", ylab="L(t)")
</pre>



<hr><div align="center">[Package <em>spatial</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

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