<div dir="ltr"><div>Placing the 6.5.0 KDE function documentation onto the publicly available NCL URL was a mistake on my part. <br> <a href="https://www.ncl.ucar.edu/Document/Functions/Built-in/dim_kde.shtml" target="_blank">https://www.ncl.ucar.edu/<wbr>Document/Functions/Built-in/<wbr>dim_kde.shtml</a><br>It was meant for NCL's internal draft documentation URL. I used<br><br></div><div>%> unw dim_kde.xml<br><br></div><div>instead of<br><br></div><div>%> unw -t dim_kde.xml<br><br>----<br></div><div><br></div><div>If you look at:<br> <a href="http://www.ncl.ucar.edu/future_release.shtml" target="_blank">http://www.ncl.ucar.edu/<wbr>future_release.shtml</a><br></div><div>there is no mention of the 'dim_kde' function. Hence, 'dim_dke' is not yet in the development NCL 6.5.0. There is no time estimate of when it will be included.<br><br>---<br></div><div>An NCL script that invokes the KDE fortran subroutine via a shared object is available. It returns the PDF (ie: "smooth curve"). I can make this available. Let ncl-talk know if you want this. <br><br></div><div>There is also an as-yet undocumented NCL language 'hist_binwidth' that estimates optimal bin-widths using Silverman's rule-of-thumb for normal and quantile densities; and, uses the 'dim_kde' function. An NCL script that invokes the shared object is available for this also.<br><br></div><div>Regards<br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jul 25, 2017 at 2:23 PM, LI Qi <span dir="ltr"><<a href="mailto:liqi123sh@qq.com" target="_blank">liqi123sh@qq.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div>Dear NCL,</div><div><br></div><div>Is there any way I can try the gaussian kernel density estimation (KDE) (<a href="https://www.ncl.ucar.edu/Document/Functions/Built-in/dim_kde.shtml" target="_blank">https://www.ncl.ucar.edu/<wbr>Document/Functions/Built-in/<wbr>dim_kde.shtml</a>) before next version released?</div><div>I have sample histograms and would like a smooth curve overlaid.</div><div><br></div><div>Thanks and best regards,</div><div>Qi</div><br>______________________________<wbr>_________________<br>
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