Dear all, I did a RDA and when I looked to the signification of the test with permutest, the output was non-significant. But when I used the envfit function, some of the vectors are significant. All the test's conditions are respected. What it means? Is it an error in the script?
Commands and output: > permutest(rda.ind, perm=999, first=TRUE) Permutation test for rda Call: rda(formula = x ~ ARH_frs + CON_frs + PRP_frs + RUI_frs + VAM_frs, data = z) Permutation test for first constrained eigenvalue Pseudo-F:     4.093568 (with 1, 10 Degrees of Freedom) Significance:   0.413 Based on 999 permutations under reduced model. > fit <- envfit(rda.ind, z, perm = 999, display = "lc") > fit ***VECTORS        RDA1    RDA2   r2 Pr(>r)   VAM_frs  0.145281 -0.989390 0.2388  0.147   ARH_frs -0.876494 -0.481413 0.6127  0.002 ** CON_frs  0.904278  0.426944 0.4846  0.013 *  PRP_frs -0.997634  0.068755 0.9433  0.001 *** RUI_frs -0.648512 -0.761204 0.6243  0.004 ** --- Signif. codes:  0 â***â 0.001 â**â 0.01 â*â 0.05 â.â 0.1 â â 1 P values based on 999 permutations.  Rémi Lesmerises, biol. M.Sc., Candidat Ph.D. en Biologie Université du Québec à Rimouski remilesmeri...@yahoo.ca [[alternative HTML version deleted]]
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