[R-sig-eco] question about varpart results
Marion Casati
m@r|on@c@@@t| @end|ng |rom etud@u-p|c@rd|e@|r
Fri Aug 12 11:09:38 CEST 2022
Dear all,
I am trying to run variation partitioning analysis on a response data. I
have three constraining datasets with numeric variables. The issue I
have is that the varpart function does not seem to detect variance, and
the residuals are very high.
/varpart(Y = ML, X = ~Rtot$DegreInv + Rtot$mean_circ_rhodo +/
/Rtot$BA_rhodo + Rtot$Hmoy_rhodo, ~Rtot$rec_solnu + Rtot$Fe_profMin +/
/Rtot$OL_moy + Rtot$pHsol_h2o, ~Rtot$densioMean + Rtot$SD_arbres +/
/Rtot$BA_arbres + Rtot$rec_ah + Rtot$Rec_forest_percent, chisquare = T)/
//
/Explanatory tables:/
/X1:~Rtot$DegreInv + Rtot$mean_circ_rhodo + Rtot$BA_rhodo + Rtot$Hmoy_rhodo/
/X2:~Rtot$rec_solnu + Rtot$Fe_profMin + Rtot$OL_moy + Rtot$pHsol_h2o/
/X3:~Rtot$densioMean + Rtot$SD_arbres + Rtot$BA_arbres + Rtot$rec_ah +
Rtot$Rec_forest_percent /
//
/No. of explanatory tables: 3 /
/Total variation (SS): 4.4854 /
/No. of observations: 62 /
/Residuals = 0.97789/
//
But when I perform a cca analysis between my response dataset and my
exploratory dataset (not separated into three parts as for the variation
partitioning analysis), the analysis does detect variance.
/Call: cca(X = ML, Y = Rtot)/
/Inertia Proportion Rank/
/Total4.48541.0000/
/Constrained3.07850.686341/
/Unconstrained1.40690.313720/
So why does varpart not detect anything?
I think there's something I must not have understood. Can anyone help me ?
Thanks,
Marion Casati
--
PhD student in Ecological Sciences: Ecology, Evolution and Biodiversity
Edysan UMR 7058 CNRS - UPJV
1 rue des Louvels
80000 Amiens
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