Description Usage Arguments Details Value Author(s) Examples
Species tolerances and sample heterogeneities.
1 2 3 4 5 |
x |
object of class |
choices |
numeric; which ordination axes to compute tolerances and heterogeneities for. Defaults to axes 1 and 2. |
which |
character; one of |
scaling |
character or numeric; the ordination scaling to
use. See |
hill |
logical; if |
useN2 |
logical; should the bias in the tolerances / heterogeneities be reduced via scaling by Hill's N2? |
... |
arguments passed to other methods. |
Function to compute species tolerances and site heterogeneity measures from unimodal ordinations (CCA & CA). Implements Eq 6.47 and 6.48 from the Canoco 4.5 Reference Manual (pages 178-179).
Matrix of tolerances/heterogeneities with some additional attributes.
Gavin L. Simpson
1 2 3 4 5 6 7 8 9 |
Loading required package: permute
Loading required package: lattice
This is vegan 2.5-4
Species Tolerance
Scaling: 2
CCA1 CCA2
Achimill 0.32968099 0.9241988
Agrostol 0.93670069 0.9238455
Airaprae 1.04694096 0.5889849
Alopgeni 0.72227472 0.3760138
Anthodor 1.00596787 0.8338212
Bellpere 0.32891011 0.9962790
Bromhord 0.27740999 0.6236199
Chenalbu 0.00000000 0.0000000
Cirsarve 0.00000000 0.0000000
Comapalu 0.47185632 0.8029414
Eleopalu 0.50344134 0.9384960
Elymrepe 0.35119963 0.5642491
Empenigr 0.00000000 0.0000000
Hyporadi 1.05840696 0.7523003
Juncarti 0.78397702 1.0686743
Juncbufo 0.69275956 0.6180830
Lolipere 0.51006235 0.8278177
Planlanc 0.36040676 0.6962294
Poaprat 0.58184277 0.9547104
Poatriv 0.78695928 0.7433503
Ranuflam 0.56576326 1.1725628
Rumeacet 0.58715663 0.8751491
Sagiproc 0.70922180 1.1153129
Salirepe 0.98530179 0.1077917
Scorautu 1.04355761 1.0724439
Trifprat 0.03045846 0.3651949
Trifrepe 1.21543364 0.9115613
Vicilath 0.24853962 0.6194084
Bracruta 1.03787313 1.0958331
Callcusp 0.57882025 1.0418623
Sample Heterogeneity
Scaling: 2
CCA1 CCA2 CCA3 CCA4 CCA5 CCA6
1 0.2350112 0.8611530 1.7964571 0.4445499 2.4235732 0.5496289
2 0.7100754 0.4136311 0.8151643 0.6311751 1.0467901 0.2514646
3 0.5076492 0.7279717 0.8306874 0.5590739 0.3904998 0.9162012
4 0.5955037 0.6901907 0.7931255 0.4873638 0.3966068 0.8700581
5 0.6001048 0.5614830 1.1481560 0.3569604 0.4423909 1.9420043
6 0.7272637 0.6867342 1.6068628 0.7778498 0.9187843 0.4938865
7 0.6478967 0.4993262 0.7207318 0.3817131 0.4130713 0.7228173
8 0.8563491 0.5498552 0.4217718 0.3370226 0.3013276 0.9535190
9 0.5599722 0.7399384 0.4170304 1.0535541 1.4612437 0.7626183
10 0.5210280 0.5806978 0.5856634 0.4174860 1.8559344 0.8890262
11 0.4489323 0.6016877 0.3317371 1.8780211 1.2965939 2.1953737
12 0.4948094 1.1084494 0.5226746 1.5064446 0.5703077 1.1561020
13 0.6998985 0.8859365 0.4215474 0.8582272 0.5673698 0.5186678
14 1.5925779 0.6747926 0.8927360 1.6798300 0.3480218 0.1575892
15 1.0107648 0.5294221 1.0975629 1.7632888 0.2240900 0.3727240
16 0.8031479 0.6058313 0.4871527 0.4227451 0.5341256 0.6990815
17 0.5936276 1.5142792 0.5137979 1.0224938 1.7931775 0.6261853
18 0.5689409 1.4067575 0.6398557 0.4983399 0.4364791 0.6590394
19 1.1330387 0.9816332 1.1242398 0.7238920 0.5577662 0.7036044
20 0.6737757 1.4458326 1.4380928 1.0959027 0.4142423 0.5332460
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