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I have some data in the form:

 Year Altitude Habitat Guild     Count
 2008 1834     Primary Omnivore  6
 ...  ...      ...     ...       ...

Where

  • Years = 2008, 2011, or 2014
  • Habitat = Primary or Secondary
  • Guild = Carnivore, Omnivore, Frugivore, Nectarivore or Insectivore
  • Altitude and count are continuous

Thre are 695 samples

I would like to perform an ANOSIM test on the data however it is in a different format to any examples I have been able to find. To confirm I am using the right function here is what I am trying find out about the data:

Whether the composition of guilds differs significantly between habitats and if it changes over the years. Additionally I would like to know if altitude is a confounding variable.

All my attempts thus so far have yielded nothing worth posting as a starting point.

69BlazeMan420
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  • Consider posting this on cross-validated community (stats.stackexchanges.com) as it is clearly more a methodological question than a programmation one. – Eric Lecoutre Feb 15 '17 at 12:43
  • Well the main question is how do I use the ANOMSIM function correctly with the data, I simply thought I would check that it was the correct function to use, but this area is hardly my forte so I cede that you are probably right – 69BlazeMan420 Feb 15 '17 at 12:57
  • ANOSIm is possibly OK here, but the format is wrong - at least for most multivariate analysis tools in R. You want the data in wide format, where each Guild level is a column with the count values in the cells, one row per sample. – Gavin Simpson Mar 08 '17 at 04:09

0 Answers0