<div dir="ltr"><div style><span style="font-family:Tahoma;font-size:13px">Courtesy of Jim Oeppen (see below)</span></div><div><span style="font-family:Tahoma;font-size:13px"><br></span></div><div><span style="font-family:Tahoma;font-size:13px">----</span></div>
<span style="font-family:Tahoma;font-size:13px"><div><span style="font-family:Tahoma;font-size:13px"><br></span></div>I sent this message to the SOCSIM users I know, but I'm afraid I forgot about you. Here it is:</span><br style="font-family:Tahoma;font-size:13px">
<br style="font-family:Tahoma;font-size:13px"><p class="MsoNormal" style="font-family:Tahoma;font-size:13px">I recently found the IRanges library in R:bioconductor. I was looking for an R equivalent of the boost C++ Interval Container Library which I have been using for “joint life” calculations on CAMSIM output. Although IRanges is designed for genomic data, it has a really useful set of functions for analyzing overlapping intervals. It saves a huge amount of coding so I thought it might be useful for your analyses of SOCSIM output. If you have any comments, or know of any other packages suitable for analysis of joint lives, I would like to hear about them.</p>
<p class="MsoNormal" style="font-family:Tahoma;font-size:13px"> </p><p class="MsoNormal" style="font-family:Tahoma;font-size:13px">I have a few comments. The author of a similar package, R:intervals, told me that it has been superseded by IRanges. I found that using the IRanges rdapply function on their RangedData structure was slow, so I use plyr as the split/apply/combine method. IRanges is included in GenomicRanges, but the latter seemed to add complicated genomic stuff I didn’t need.</p>
<br style="font-family:Tahoma;font-size:13px"><span style="font-family:Tahoma;font-size:13px">Best wishes,</span><br style="font-family:Tahoma;font-size:13px"><span style="font-family:Tahoma;font-size:13px">Jim</span><br>
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