| combine.4thcorner {ade4} | R Documentation |
Functions to combine and adjust the outputs of the fourthcorner and
randtest.rlq functions created using permutational models 2 and
4 (sequential approach).
combine.randtest.rlq(obj1, obj2)
combine.4thcorner(four1,four2)
p.adjust.4thcorner(x, p.adjust.method.G = p.adjust.methods,
p.adjust.method.D = p.adjust.methods, p.adjust.D = c("global",
"levels"))
four1 |
an object of the class 4thcorner created with modeltype = 2 (or 4) |
four2 |
an object of the class 4thcorner created with modeltype = 4 (or 2) |
obj1 |
an object created with |
obj2 |
an object created with |
x |
an object of the class 4thcorner |
p.adjust.method.G |
a string indicating a method for multiple
adjustment used for output tabG, see |
p.adjust.method.D |
a string indicating a method for multiple
adjustment used for output tabD/tabD2, see |
p.adjust.D |
a string indicating if multiple adjustment for tabD/tabD2 should be done globally or only between levels of a factor ("levels", as in the original paper of Legendre et al. 1997) |
The functions combines the outputs of two objects (created by
fourthcorner and randtest.rlq functions) as described in
Dray and Legendre (2008) and ter Braak et al (2012).
The functions return objects of the same class than their argument. They simply create a new object where pvalues are equal to the maximum of pvalues of the two arguments.
Stephane Dray stephane.dray@univ-lyon1.fr
Dray, S. and Legendre, P. (2008) Testing the species traits-environment relationships: the fourth-corner problem revisited. Ecology, 89, 3400–3412.
ter Braak, C., Cormont, A., and Dray, S. (2012) Improved testing of species traits-environment relationships in the fourth corner problem. Ecology, 93, 1525–1526.
rlq, fourthcorner, p.adjust.methods
data(aravo) four2 <- fourthcorner(aravo$env, aravo$spe, aravo$traits, nrepet=99,modeltype=2) four4 <- fourthcorner(aravo$env, aravo$spe, aravo$traits, nrepet=99,modeltype=4) four.comb <- combine.4thcorner(four2,four4) ## or directly : ## four.comb <- fourthcorner(aravo$env, aravo$spe, aravo$traits, nrepet=99,modeltype=6) summary(four.comb) plot(four.comb, stat = "G")