Dear R members –
I write to seek help concerning simulation and randomization.
I have a set equal area grids with observations e.g. phylogenetic observation, per grid.
I would like to be able to simulate random observations e.g. 1000 times to obtain a null distribution of the observation. I will then be glad to know how to test the observed patterns against the null to obtain p-values.
The data is arranged as follows:

grids1  observatn
g0      71.193510
g1      110.338347
g2      155.553859
g3      178.696210
g4      139.272733
g5      120.913020
g6      112.945412
g7      106.012243
g8      80.889829
g9      95.196947
g10     182.268465
g11     195.393473
g12     198.778229
g13     177.343460
g14     167.527703
g15     167.046954
g16     169.810604
g17     166.792720
g18     139.586739
g19     138.117178
g20     129.415400
…
I simply want to be able to show a histogram of the null distribution and a point showing how significant the observed is from the null as well as the confidence intervals.
Any R code will be greatly appreciated.

Thanks and kind regards
Barnabas Daru






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 /---/ Barnabas Daru
 |--/   PhD Candidate,
 \-/    African Centre for DNA Barcoding,
 /\      University of Johannesburg,
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 \---\ Lab: +27 11 559 3477        
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#…if you can think it, you can do it.
 





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