Hello, I am a conservation Masters student who is new to R and in need of some confirmation of my methods/ stats help!
My dissertation project is looking at the micronutrient intake (iron, zinc, calcium, magnesium and folic acid/folate) of 18 female monkeys, 14 of which are reproductively 'successful' (their infant survived past 1 year) and 4 of which are reproductively 'unsuccessful' (their infant did not survive to 1 year). The females go through a number of stages throughout their pregnancy, and I would like to focus on 2 of these stages, early gestation and early lactation, as these appear in the literature to be important stages in terms of nutrition. Each stage is broken down into 4 week periods so I have G1, G2 and G3 as early gestation and L1, L2, L3 and L4 as early lactation. These could also be combined into just 2 reproductive stages; early gestation (EG) and early lactation (EL), to make the model a bit simpler. *I first would like to investigate how micronutrient intake is affected by the reproductive stage of females.* To investigate this I am thinking of doing a multivariate multiple regression general linear model, controlling for Female ID: ironintake ~ repphase + (1/FemaleID) zincintake ~ repphase + (1/FemaleID) etc. *I would also like to investigate how the micronutrients they intake affect reproductive 'successfulness'.* To investigate this I am thinking of doing a binomial logistic regression generalised linear model, again controlling for Female ID: Repsuccess ~ ironintake + zincintake + calciumintake etc... +(1/FemaleID) As I'm new to R and a bit rusty with my stats knowledge I would be very grateful for any comments on my current stats tests and methods outlined above. If there are other tests that would fit my data better then I'm all ears! Thank you! [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.