<div dir="ltr">Thanks Andrew!<br></div><div id="DDB4FAA8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br>
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<a href="#DDB4FAA8-2DD7-40BB-A1B8-4E2AA1F9FDF2" width="1" height="1"></a></div><div class="gmail_extra"><br><div class="gmail_quote">2016-02-07 9:40 GMT-05:00 Andrew Friedman <span dir="ltr"><<a href="mailto:andfried@gmail.com" target="_blank">andfried@gmail.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Jose,<br>
<br>
I believe it is Pearson correlation. You can test by printing out the data from one point (see <a href="http://cola.gmu.edu/grads/gadoc/ascii.html" rel="noreferrer" target="_blank">http://cola.gmu.edu/grads/gadoc/ascii.html</a>), and calculating the correlation directly using the Pearson formula, either by hand or with any calculation program such as Excel.<br>
<br>
Andrew<br>
<div><div class="h5"><br>
> On Feb 6, 2016, at 4:45 PM, José Obregón <<a href="mailto:20130153@lamolina.edu.pe">20130153@lamolina.edu.pe</a>> wrote:<br>
><br>
> Hi friends, I used the following script to obtain maps of correlation. I wonder What type of correlation is? ¿Pearson or Spearman?<br>
> Script--> <a href="http://bguan.bol.ucla.edu/bGASL/fcorr.gs" rel="noreferrer" target="_blank">http://bguan.bol.ucla.edu/bGASL/fcorr.gs</a><br>
> Thanks.<br>
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