R help - Sep 2009 - Nested test

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
-- 
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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, respectively,
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 are significantly different
among
a) hosts, and
b) localities

To me, it appears that I have to run a nested ANOVA.

Several questions arise:

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-tp25530390p25530390.html
Sent from the R help mailing list archive at Nabble.com.