I'm going to conduct Canonical Correspondence Analysis (CCA)
. In the tutorial I've found at: CCA
environmental data are discrete
variables with multiple levels within each variable (please check env.csv file in the tutorial). But in my case some environmental variables belong to nominal
and some to ordinal
data types with only two levels for each variable. Can I do CCA
on my data?Which data types are suitable for CCA
? What should I do if my environmental variables would belong to different data types (e.g. continuous
, discrete
, nominal
, etc. with different levels within each variable)?
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homals
. $\endgroup$ – kjetil b halvorsen♦ Aug 7 '19 at 12:34