On 11 May 2008, at 22:45, Andrew Robinson wrote:
lme(y ~ selection * males, random = ~1|replica/selection/males,
mydata)
forgive me, but I seem to see nesting in the random statement.
That is
what happens when we separate factors with a '/'; they are nested. We
would expect that
On 12 May 2008, at 01:05, Andrew Robinson wrote:
On Mon, May 12, 2008 at 10:34:40AM +1200, Rolf Turner wrote:
On 12/05/2008, at 9:45 AM, Andrew Robinson wrote:
On Sun, May 11, 2008 at 07:52:50PM +0100, Federico Calboli wrote:
The main point of my question is, having a 3 way anova (or
On 12 May 2008, at 09:29, Dieter Menne wrote:
Federico:
First, mixed models are different from standard 101 Anova, and
quite a lot
of the nesting stuff I used to ponder about 30 year ago when I started
teaching this is no longer relevant and works implicitely when you
code the
parameters
On 11 May 2008, at 23:34, Rolf Turner wrote:
It doesn't seem to me to be a complaint as such. It is a
request for insight. I too would like some insight as to
what on earth is going on. And why do you say Federico
shows no evidence of having searched the
On Mon, May 12, 2008 at 10:50:03AM +0100, Federico Calboli wrote:
On 12 May 2008, at 01:05, Andrew Robinson wrote:
On Mon, May 12, 2008 at 10:34:40AM +1200, Rolf Turner wrote:
On 12/05/2008, at 9:45 AM, Andrew Robinson wrote:
On Sun, May 11, 2008 at 07:52:50PM +0100, Federico Calboli
On 12 May 2008, at 11:16, Andrew Robinson wrote:
Well. I have documentation relevant to nlme that goes back about 10
years. I don't know when it was first added to S-plus, but I assume
that it was about then. Now, do you think that if the thing that you
want to do was really bog standard,
On 10 May 2008, at 07:36, Kingsford Jones wrote:
Federico,
I think you'll be more likely to receive the type of response you're
looking for if you formulate your question more clearly. The
inclusion of commented, minimal, self-contained, reproducible code
(as is requested at the bottom of
On Sun, May 11, 2008 at 07:52:50PM +0100, Federico Calboli wrote:
The main point of my question is, having a 3 way anova (or ancova, if
you prefer), with *no* nesting, 2 fixed effects and 1 random effect,
why is it so boneheaded difficult to specify a bog standard fully
crossed model?
On 12/05/2008, at 9:45 AM, Andrew Robinson wrote:
On Sun, May 11, 2008 at 07:52:50PM +0100, Federico Calboli wrote:
The main point of my question is, having a 3 way anova (or ancova, if
you prefer), with *no* nesting, 2 fixed effects and 1 random effect,
why is it so boneheaded difficult to
On Mon, May 12, 2008 at 10:34:40AM +1200, Rolf Turner wrote:
On 12/05/2008, at 9:45 AM, Andrew Robinson wrote:
On Sun, May 11, 2008 at 07:52:50PM +0100, Federico Calboli wrote:
The main point of my question is, having a 3 way anova (or ancova, if
you prefer), with *no* nesting, 2 fixed
On Fri, May 9, 2008 at 4:04 AM, Federico Calboli
[EMAIL PROTECTED] wrote:
Note that random can be a list:
a one-sided formula of the form ~x1+...+xn, or a pdMat object with a
formula
(i.e. a non-NULL value for formula(object)), or a list of such formulas or
pdMat
objects.
If you can
Federico Calboli f.calboli at imperial.ac.uk writes:
Hi everyone,
I am confused on how to specify some nesting and interaction terma with lme().
lme(y ~ selection * males, random = ~1|replica/selection/males, mydata)
Note that random can be a list:
a one-sided formula of the form
Note that random can be a list:
a one-sided formula of the form ~x1+...+xn, or a pdMat object with a formula
(i.e. a non-NULL value for formula(object)), or a list of such formulas or pdMat
objects.
If you can translate that into *informative* English I'd be grateful. I have the
Pinheiro
Hi everyone,
I am confused on how to specify some nesting and interaction terma with lme().
I have a dataset where some flies where selected for accessory gland size, made
to mate in presence/absence of another male and the level of some protein
measured. Now the complex stuff.
The
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