Thank You
-- ԭʼ�ʼ� --
��: "Bert Gunter"<bgunter.4...@gmail.com>;
ʱ��: 2017��3��11��(��) 11:44
�ռ���: "��˳"<liushu...@qq.com>;
: "r-help"<r-help@r-project.org>;
: Re: [R] Linear Mixed-Effec
Have you read the docs? Is this some kind of homework? -- this list
does not do homework. We expect minimal efforts at least on the part
of posters. We do not do tutorials here. I think you need to do some
reading on your own before posting further. Try posting on the
r-sig-mixed-models list to
Dear R Help:
What does "lmer(responce ~ factor1*factor2 + (factor1*factor2 | group1) +
(factor1*factor2| group2), data)" mean?
And
"lmer(responce ~ factor1*factor2 + (factor1*factor2 | group1) +
(factor1*factor2| group2), data)" vs. "lmer(responce ~ factor1*factor2 +
(factor1+factor2 | group1)
I am looking for some advice on an appropriate statistical analysis in R
*Experimental question* : We are interested in how communities from
different streams may vary in their response to experimental
temperature. Specifically we are interested to test for differences in
the slope and
Daniel Perkins wrote:
Ideally we would do an ANCOVA to test for differences in slope or
intercepts for the different streams. However as there were repeated
measures and unequal n and unbalanced design, I have used a linear mixed
effect model (from nlme package in R) in the form:
5 matches
Mail list logo