[R-sig-eco] What statistical analysis should I take??
Dunbar, Michael J.
mdu at ceh.ac.uk
Wed Jan 12 10:54:40 CET 2011
Dear Yong
The simplest approach would be to calculate a phi value for each stream, and then apply conventional anova.
There is some background on phi here:
http://en.wikipedia.org/wiki/Particle_size_%28grain_size%29
There is an example of a simple algorithm to calculate phi from discrete categories here (Appendix E), this may need modifying slightly for your categories:
http://www.wfduk.org/bio_assessment/bio_assessment/rivers_invertebrates
regards
Mike
-----Original Message-----
From: r-sig-ecology-bounces at r-project.org [mailto:r-sig-ecology-bounces at r-project.org] On Behalf Of Yong Zhang
Sent: 12 January 2011 05:42
To: r-sig-ecology
Subject: [R-sig-eco] What statistical analysis should I take??
Hello all,
Now, I have a big trouble, thing is like that I sampled the sediment of 10 streams. These streams can be divided into two groups, group A and B , each group contains 5 streams.
The sediment also can be divided into 4 types (according to the diameter of the sediment particle :sand < 2mm, gravel 2--64mm, cobble 64---256mm and boulder >256mm), I measured 100 sediment particles per stream, and the number of each kind sediment particle has been recorded.
My sediment datas are something like:
group
A: sand gravel cobble boulder
1 10 20 20 50
2 20 30 20 30
3 ........etc....
4
5
B: sand gravel cobble boulder
1 0 5 80 15
2 10 20 15 55
3 ...........etc............
4
5
I aim to explore whether the sediment composition is significantly different between the two groups, or not. Could anyone tell me what analysi should I take, and any of your hint or suggestion will be greatly appreciated.
All the best,
Yong
ps: If anyone have any idea, please tell me in details, because I am green. Thanks very much for your time!
2011-01-12
Yong Zhang, Ph.D.
Lab of aquatic insects & stream ecology
Dept.of Entonology, Nanjing Agricultural University Nanjing, 210095,China Phone number: (+86) -25-84395241 E-mail:2010202035 at njau.edu.cn
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