way correspondence analyses?
Sorry somehow the mail was buried in my spam folder and I was waiting for
any reply. Now when I searched specifically then found in spam. Sorry about
this.
This is my data format.
I have three data matrix. Samples are matched
> dput(Cytok_and_ProInf)
structure(list(
Sorry somehow the mail was buried in my spam folder and I was waiting for
any reply. Now when I searched specifically then found in spam. Sorry about
this.
This is my data format.
I have three data matrix. Samples are matched
> dput(Cytok_and_ProInf)
structure(list(IFN._ = c(3.412082432,
You haven't supplied any data, and we can only guess which cca()
function you are using (ade4::cca, ..., vegan::cca(), yacca::cca), and
the term 'cca' generally refers to canonical correspondence analysis,
which is not quite the same thing as 'three-way correspondence analysis'.
For three-way
] 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
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 <-
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