Dear R Help Mailing List Members, I have some baseline data (attached) on which I plan to run a DFA in R to find out the best predictor variables that best allow discrimination between the different stocks. I then need to apply this DFA function to the mixed data set (attached), which contains all the predictor variables of the baseline data set, but does not contain a stock variable, as their origin is unknown and I am trying to classify the mixed stock fish back to their origin stock using the DFA function generated from the baseline data. My question is whether it is possible to use the predict function with the generated DFA function and provide the mixed data set as the newdata argument within this to generate the classification, even though the mixed data set does not contain the stock variable?
Unfortunately, the mixstock package that has recently become available is not capable of dealing with continuous variables at this time, so I am unable to use it. I would be grateful for any guidance you may be able to provide. Thank you, Melanie ____________________________________________ Melanie Zölck (Zoelck) PhD Candidate Galway-Mayo Institute of Technology Marine and Freshwater Research Centre Commercial Fisheries Research Group Department of Life Science Dublin Road Galway Republic of Ireland E-mail: mzoe...@hotmaill.com
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