Displaying 4 results from an estimated 4 matches for "0.1659".
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2010 Sep 10
1
lmer output
Hi
I have a question regarding an output of a binomial lmer-model.
The model is as follows:
lmer(y~diet * day * female + (day|female),family=binomial)
The corresponding output is:
Generalized linear mixed model fit by the Laplace approximation
Formula: y ~ diet * day * female + (day | female)
AIC BIC logLik deviance
1084 1136 -531.1 1062
Random effects:
Groups Name Variance
2003 Oct 08
2
binomial glm warnings revisited
Dear all,
Last autumn there was some discussion on the list of the warning
Warning message:
fitted probabilities numerically 0 or 1 occurred in: (if
(is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y,
when fitting binomial GLMs with many 0 and few 1.
Parts of replies:
"You should be able to tell which coefficients are infinite -- the
coefficients and their standard errors will
2004 Dec 02
3
Dominant factors in aov?
Hi all,
I'm using R 2.0.1. for Windows to analyze the influence of following factors
on response Y:
A (four levels)
B (three levels)
C (two levels)
D (29 levels) with
E (four replicates)
The dataset looks like this:
A B C D E Y
0 1 1 1 1 491.9
0 1 1 1 2 618.7
0 1 1 1 3 448.2
0 1 1 1 4 632.9
250 1 1 1 1 92.4
250 1 1 1 2 117
250 1 1 1 3 35.5
250 1 1 1 4 102.7
500 1 1 1 1 47
500 1 1 1 2 57.4
2006 Jun 28
0
Fwd: add1() and anova() with glm with dispersion
> Hello,
>
> I have a question about a discrepancy between the
> reported F statistics using anova() and add1() from
> adding an additional term to form nested models.
>
> I found and old posting related to anova() and
> drop1() regarding a glm with a dispersion parameter.
>
> The posting is very old (May 2000, R 1.1.0).
> The old posting is located here.
>