Dear R experts, I just want to ask you about a very basic topic, although I have been looking for info on the web, I have not found conclusive evidence or a similar example about how to arrange data.
I am trying to perform a Canonical Correspondence Analysis in R.I have one categorical data (species) and several numerical variables (behavior transition frequencies). The aim of my analysis is to find out if the frequency of the occurence of certain behaviors allows to separate both species. I have been trying to find out how to arrange the data. Since I have to build a very big matrix (about 2000 rows) I want to know how to arrange data before running the analysis. I have attached a sample with the original data arrangement. My main concern is that the data has the behaviors twice (preceeding and following), and I would like to know how to deal with this data. Thanks in advance and sorry for the long message!
Species Preceeding/Following BehavA BehavB BehavC BehavD BehavE BehavF BehavG BehavH total A BehavA 0 0 0 0,064516129 0,064516129 0,032258065 0 0,838709677 1 A BehavB 0 0 0,866666667 0 0 0,133333333 0 0 1 A BehavC 0,076923077 0,076923077 0 0 0 0,846153846 0 0 1 A BehavD 1 0 0 0 0 0 0 0 1 A BehavE 0 0,111111111 0 0 0 0,111111111 0,777777778 0 1 A BehavF 0 0,111111111 0 0 0 0,111111111 0,777777778 0 1 A BehavG 0,315789474 0 0 0,578947368 0,105263158 0 0 0 1 A BehavH 0 0,857142857 0 0 0 0,142857143 0 0 1 B BehavA 0 0 0 0,25 0,25 0 0,5 1 B BehavB 0 0 0,75 0 0 0,25 0 0 1 B BehavC 0 0,16 0 0 0 0,846153846 0 0 1 B BehavD 1 0 0 0 0 0 0 0 1 B BehavE 0 0,111111111 0 0 0 0,111111111 0,777777778 0 1 B BehavF 0 0,111111111 0 0 0 0,111111111 0,777777778 0 1 B BehavG 0,315789474 0 0 0,68 0 0 0 1 B BehavH 0 0,857142857 0 0 0 0,142857143 0 0 1
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