Displaying 3 results from an estimated 3 matches for "trtmn2".
2008 Apr 04
1
lme4: How to specify nested factors, meaning of : and %in%
...bs: 36, groups: Liver:(Rat:Treatment), 18; Rat:Treatment, 6;
Treatment, 3
Fixed effects:
Estimate Std. Error t value
(Intercept) 140.500 5.184 27.104
Treatment2 10.500 7.331 1.432
Treatment3 -5.333 7.331 -0.728
Correlation of Fixed Effects:
(Intr) Trtmn2
Treatment2 -0.707
Treatment3 -0.707 0.500
> (m1a<-lmer(Glycogen~Treatment+(1|Treatment)+(1|Treatment:Rat)+(1|
Treatment:Rat:Liver)))
Linear mixed-effects model fit by REML
Formula: Glycogen ~ Treatment + (1 | Treatment) + (1 | Treatment:Rat) +
(1 | Treatment:Rat:Liver)
AIC BIC l...
2005 Sep 07
1
FW: Re: Doubt about nested aov output
...208 33 37.7607 < 2.2e-16 ***
Treatment2 10.5000 2.6607 33 3.9463 0.0003917 ***
Treatment3 -5.3333 2.6607 33 -2.0045 0.0532798 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Correlation of Fixed Effects:
(Intr) Trtmn2
Treatment2 -0.358
Treatment3 -0.358 0.500
> anova(model.lmer)
Analysis of Variance Table
Df Sum Sq Mean Sq Denom F value Pr(>F)
Treatment 2 1557.56 778.78 33.00 18.335 4.419e-06 ***
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which agrees with the aov mode...
2009 Nov 07
1
lme4 and incomplete block design
Dear list members,
I try to simulate an incomplete block design in which every participants
receives 3 out of 4 possible treatment. The outcome in binary.
Assigning a binary outcome to the BIB or PBIB dataset of the package
SASmixed gives the appropriate output.
With the code below, fixed treatment estimates are not given for each of
the 4 possible treatments, instead a kind of summary