Dear R users. I am analysing a parasite-host dataset which consists of the following samples collected from wild fish:
2 locations with 7 and 8 fish hosts each in which I retrieved and measured (length, weight, length/weight, pairwise relatedness) unequal and rather small (5-30) numbers of parasites. Parasites are also separated for sex (2-15). Now, I intend to test, if parasite measures depend on the respective a) host, or b) locality To me, it appears that I have to run a nested 2-way ANOVA. However, given the small within host samples (2-12), the data within each host are not normally distributed, and will have different variances amonh hosts. a) Which test is most advisable (are their non-parametric nested tests)? b) Which are the commands to use in R, given the proposed tests? Many thanks for your help in advance Sebastian -- View this message in context: http://www.nabble.com/Nested-test-tp25530332p25530332.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
