Displaying 3 results from an estimated 3 matches for "mmod".
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2006 Oct 14
2
error in lme4 for R 2.4.0 (PR#9297)
Full_Name: Din Chen
Version: 2.4.0
OS: Windows XP
Submission from: (NULL) (66.17.122.18)
I just updated the R.2.4.0. and got the error message for random effect
modelling, which was working on R.2.3.1.
library(lme4)
mmod <- lmer(bright ~ 1+(1|operator), pulp)
summary(mmod)
Then when I tried to extract the residuals and random effect using:
resid(mmodr)
ranef(mmodr)
I got error message:
Error in resid(mmod) : no slot of name "family" for this object of class "lmer"
2008 Nov 18
2
lmer p-values for fixed effects missing
I am trying to replicate the repeated measures example from Dr.Faraway's book
(Extending the linear model with R) as follows:
data(vision)
vision$npower <- rep(1:4,14)
mmod <-lmer(acuity~power+(1|subject)+(1|subject:eye),vision)
When I look at the fixed effects p-value, it is missing. Am I missing
something here?
Thanks.
Fixed effects:
Estimate Std. Error t value
(Intercept) 112.6429 2.2348 50.40
power6/18 0.7857 1.5400 0.51
power6/3...
2005 Mar 22
3
mixtures as outcome variables
Dear R-users,
I have an outcome variable and I'm unsure about how to treat it. Any
advice?
I have spending data for each county in the state of California (N=58).
Each county has been allocated money to spend on any one of the
following four categories: A, B, C, and D.
Each county may spend the money in any way they see fit. This also means
that the county need not spend all the money that