Hello there, i would like some advice on how to correctly perform a CCA, and if i do need to transform my data. To do so ill explain my intends abut this work and how is my data. (i'll try to be as much specific and to explain correctly in english)
Im working on a ecologic assessment using fitoplankton and environmental parameters on tropial eutrophic reservoirs. To do so i collected weekly summer samples for each site. I made a monthly mean for the biotic (density data) and abiotic parametres (Tempratura, pH, NO3, etc...). This mean, is the data that i have right now to do a CCA (60 taxons and 19 environmental variables). The taxons are in densities (Org/mL) unit, and i'm thinking abut perform a pre PCA for the abiotic parameters and biotic to exclude some data. But i'm worring about my statistical approach, if it is correctly, or if i need to do some more steps, like a data transformation in my analysis..
Thank you very much Malcolm!
This will really help me out!
Right now i'm working on PAST 3.15, but i think ill change to R after this work.. I just need to learn how to operate it first.
But Thanks again!
Best regards
Lucas
Thank you Christopher!
For the contribution! Now i think i may be able to do a correct analisys
I would like to do a log-transformation of my environmental variables, but can´t due to the zero values. I tried to do a yeo johnson transformation but so far I fail to manage it in R.
Do you have other suggestions for dealing with environmental data with zero values?
The zero values a due to that small changes which the devices cannot detect, not real zero values.
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