Displaying 6 results from an estimated 6 matches for "anove".
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2011 May 12
1
(no subject)
#subject: type III sum of squares - anova() Anova() AnovaM()
#R-version: 2.12.2
#Hello everyone,
#I am currently evaluating experimental data of a two factor
experiment. to illustrate de my problem I will use following #dummy
dataset: Factor "T1" has 3 levels ("A","B","C") and factor "T2" has 2
levels "E" and "F". The
2002 Aug 14
1
Why can't Anove (car package) see the data?
At the end of the 'Details:' section of the help on Anova (car
package), it states:
The standard R `anova' function calculates sequential (type-I)
tests. These rarely test meaningful hypotheses.
So I thought I'd try it. However, I was perplexed to get this
message:
Browse[1]> Anova.glm(leaf.glm1, type ="II")
Error in terms.formula(formula, data = data) :
2008 Dec 16
4
GlusterFS process take very many memory
...locks-perf
option transport-timeout 60
end-volume
####
# main2
volume remvz03
type protocol/client
option transport-type tcp/client
option remote-host 192.168.34.6
option remote-subvolume vz-locks-perf
option transport-timeout 60
end-volume
#################################
# AFR - 1 local, anover remoute #
#################################
volume afr
type cluster/afr
option read-subvolume remvz01 # this line depend of node
subvolumes remvz01 remvz02 remvz03
end-volume
2)GLusterFS version used:
glusterfs 1.4.0rc3 built on Dec 16 2008 13:39:08
Repository revision: glusterfs--mainli...
2008 Nov 19
2
GAMM and anove.lme question
Greetings all
The help file for GAMM in mgcv indicates that the log likelihood for a
GAMM reported using
summary(my.gamm$lme) (as an example) is not correct.
However, in a past R-help post (included below), there is some indication
that the likelihood ratio test in anova.lme(mygamm$lme, mygamm1$lme) is
valid.
How can I tell if anova.lme results are meaningful (are AIC, BIC, and
logLik
2002 Aug 01
2
A question from a newbee...
Hello .
I have a little question ..
I work with Anova (aov) and Manova (manova) and want to print some result in a
text file. I see the results with the summary function or the summary.aov
function but i do not know how to save the differents probabilities of error
in a value.
Sorry for my poor English
Thanks a lot.
--
Lamoral Julien
2009 Jun 25
0
lme gives different results to SAS Proc Mixed
...is
testmain<-lme(blood~dose*day, random=~1|animal, data=sasdata, na.action =
(na.omit))
anova(testmain)
The overall test of the fixed effects agree as expected, but when I tried
Blood2 (which has missing data) only the Day*Dose interaction agrees. I
tried sequential and marginal options in the anove.lme code but to no
effect. I suspect this is something to do with the "non-orthogonality"
induced by the missing data but I am not sure.
Not being an expert in this area I was wondering if anyone knew why I'm
seeing these differences and if I can tweak the R code to get agreement?...