variation partitioning significane test vegan
Hi all, I was just wondering if somebody had a chance to think about this. Let me know if it is confusing (it can be the way i wrote it), I will try to clarify it. Thanks Migee
On Fri, Aug 31, 2012 at 5:36 PM, Migun Shakya <microbeatic at gmail.com> wrote:
Hi all, A general question on the use of capscale for partition of variance. I have used capscale to explain the variation in a soil microbial community into different measured parameters. However, none of the test (anova.cca) that i ran to check for the significance of constraints are significant. Does that mean that the variation explained are not relevant and should not be used to deduce any conclusions? Here is what i did:
FullRDA<-capscale(UNI.UNW.MAT ~A+B+C+D+Latitude+Longitude, comm=OTU,envbac) anova.cca(FullRDA)
EnvRDA<-capscale(UNI.UNW.MAT ~ A+B+Condition( C+D+Latitude+Longitude), comm=OTU,envbac) anova.cca(EnvRDA)
SoilRDA<-capscale(UNI.UNW.MAT ~ C+D+Condition(A+B+Latitude+Longitude), comm=OTU,envbac) anova.cca(SoilRDA)
GeoRDA<-capscale(UNI.UNW.MAT ~ Latitude+Longitude+Condition(A+B+C+D), comm=OTU,envbac) anova.cca(GeoRDA)
GenRDA<-capscale(UNI.UNW.MAT ~ gen$vectors+Condition(BasalArea + BaseTree+ProximalTrees+RiverDistance+ TreeToSample+ Ca+Moist+Mn+Zn+pH1+K+Month+Latitude+Longitude), comm=RHIZOTU,envbac) anova.cca(GenRDA)
I hope the question itself is not as much as the answer. Migee