I sampled three different rivers over one year during the four seasons. In addition, in the autumn and winter seasons I sampled both during an event of high (drought period) and low water (flood period). I have 3 categorical variables (river, season, event) and 11 continuous (environmental parameters, like oxygen, temperature, pH, no3, etc...). The goal is to assess the degree of similarity-diversity of the three rivers, the influence of the seasons and flood-drought periods on the environmental parameters. I was thinking about a set of multivariate techniques among: 1)redundancy analysis 2)canonical correspondence analysis 3)multiple factor analysis 4)factor analysis of mixed data. Which, in your opinion, would better answer the questions stated above? Thanks in advance for the answer!
Hi Rudy,
I recommend the multiple-factor analysis.
Best regards,
Laith
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