[R] Three way correspondence analyses?

David L Carlson dcarlson at tamu.edu
Wed Aug 3 16:25:13 CEST 2016

There are at least two canonical correspondence analysis functions named cca() in different R packages so we don't have enough information to begin. The posting guide encourages providing a reproducible example using dput() to provide enough data so that we can run your code. If we don't know anything about your data and cannot run your code, we cannot do more than guess.

David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352

-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Suparna Mitra
Sent: Tuesday, August 2, 2016 2:58 PM
To: R help
Subject: [R] Three way correspondence analyses?

Hello R experts,
   have some data for microbiome, metabolome and cytokine from the same
sample. Now I want to do a three-way correspondence analyses. From three
normalised data I was trying,
#Now CCA

with two data it works good like:
Metab.Cytok.Microb.cca <- cca(normMicrobiome_NEC,normCytok_and_ProInf)
 plot(Metab.Cytok.Microb.cca )
Metab.Cytok.Microb.cca <- cca(normMicrobiome_NEC,normMetab_NEC)
plot(Metab.Cytok.Microb.cca )

But when I tried with three
Metab.Cytok.Microb.cca <-
plot(Metab.Cytok.Microb.cca )
But this is not displaying all three variables.
Sorry, I am very new in this. Can anybody please help me?
Thanks a lot,

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