Displaying 10 results from an estimated 10 matches for "factor_contrast".
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factor_contrasts
2009 Apr 21
3
broken example: lme() + multcomp() Tukey on repeated measures design
...+ V + Error(B/V), data = oats)
> Lme.mod <- lme(Y ~ N + V, random = ~1 | B/V, data = oats)
> summary(Aov.mod)
> anova(Lme.mod)
> summary(Lme.mod)
> summary(glht(Lme.mod, linfct=mcp(V="Tukey")))
Error in eval(expr, envir, enclos) : object "Y" not found
Error in factor_contrasts(model) : no 'model.matrix' method for 'model' found!
It all went ok until the last line, where the actual Tukey multiple
comparisons was requested.
Thanks very much for any help!
Bill
2008 Jan 10
1
general linear hypothesis glht() to work with lme()
...model with interaction
dat.lme<-lme(info.index~type, random=~1|batch/type,
data=dat)
glht(dat.lme, linfct = mcp(type =c("b+t-2*m=0")))
The lme model fit is ok, but I got an error message
with glht():
Error in eval(expr, envir, enclos) : object
"info.index" not found
Error in factor_contrasts(model) : no 'model.matrix'
method for 'model' found!
according to help page of glht(), it should work with
linear mixed model, what is the problem here?
Thanks
____________________________________________________________________________________
Be a better friend, newsho...
2007 Jul 12
1
error problem with glht
...vcov(fit_area_1)
terms(fit_area_1)
#perform multiple comparisons to test null hypothesis that
#linear model fits are the same among basins
fit1_mc <- glht(anova_area_1,linfct=mcp(basin="Tukey"))
#the line above gives ...
#Error in terms.default(object) : no terms component
#Error in factor_contrasts(model) : no model.matrix method for model found!
I appreciate any help offered.
Cheers, Pete
------
Peter Furey
Research Scientist
Northwest Research Associates / CORA
3380 Mitchell Lane
Boulder, CO 80301
Also affiliated with:
Cooperative Institute for Research in Environmental Sciences (...
2008 Jul 25
1
glht after lmer with "$S4class-" and "missing model.matrix-" errors
Hello everybody.
In my case, calculating multiple comparisons (Tukey) after lmer
produced the following two errors:
> sv.mc <- glht(model.sv,linfct=mcp(comp="Tukey"))
Error in x$terms : $ operator not defined for this S4 class
Error in factor_contrasts(model) :
no 'model.matrix' method for 'model' found!
What I have done before:
> sv.growth <- groupedData(length~meas|box_id,outer=~comp,data=sv.growth)
> model.sv <- lmer(length~comp+(meas|box_id),data=sv.growth)
Warning message:
In .local(x, ..., value) :
Estimat...
2012 Feb 06
1
multiple comparisons in nested design
...trat5 -1.0623118 0.3947496
But it is useless for multiple comparisons:
#> Pairs <- glht(AnovaModel.3, linfct = mcp(Tratamiento = "Tukey"))
Error in model.matrix.default(model, data = structure(list(method = lm),
.Names = "method"), :
model structure is invalid
Error in factor_contrasts(model) :
no 'model.matrix' method for 'model' found!
#> TukeyHSD(AnovaModel.3, "Tratamiento")
Error in model.tables.aov(x, "means") :
this fit does not inherit from "lm"
Another way of analysis is through lme4 package:
#> AnovaModel.3 &l...
2011 Jan 07
4
Problems with glht function for lme object
...on 'treat', using
the multcomp package:
summary(glht(m4.feed,linfct=mcp(treat="Tukey")))
However, this does not work, and I get the below error message.
Error in if (is.null(pkg) | pkg == "nlme") terms(formula(x)) else slot(x, :
argument is of length zero
Error in factor_contrasts(model) :
no ?model.matrix? method for ?model? found!
I suspect this might have quite a straightforward solution, but I'm stuck at
this point.
Any help would be most appreciated. Sample data below.
Kind regards,
Andreas Nord
Sweden
==============
feedings sex site treat year date^...
2011 Feb 08
0
glht{multcomp} : use with lme {nlme}
...on=na.omit)
...runs sweet,..then
....try a multicomparisons approach for the categorical rf
> summary(glht(CHOL, linfct=mcp(rf="Tukey")))
*
Error in model.frame.default(object, data, xlev = xlev) :
l'oggetto non è una matrice *
<-- Object isn't a matrix!!*
Errore in factor_contrasts(model) :
no ‘model.matrix’ method for ‘model’ found!
Errore in summary(glht(CHOL, linfct = mcp(rf = "Tukey"))) :
error in evaluating the argument 'object' in selecting a method for
function 'summary'*
data are ok...I have followed the examples on ?glht ..,there is s...
2006 Oct 27
0
glht for aov with Error() term
...ames(amod), names(amod.err[["wool:tension"]]))
[1] "contrasts" "xlevels" "call" "model"
>
> glht(amod[["wool:tension"]], linfct = mcp(tension = "Tukey"))
Error in terms.default(object) : no terms component
Error in factor_contrasts(model) : no 'model.matrix' method for
'model' found!
--------------- end snip ----------------
----------------------------------------
Michael Zehetleitner, M.Sc.
Allgemeine und Experimentelle Psychologie I
Ludwig-Maximilian Universität München
[[alternative HTML versi...
2011 Apr 11
3
multiple comparisons with generalised least squares
...e factor
levels by using the varIdent function.
Then I wanted to perform multiple comparisons with the glht function of the
multcomp package.
glht(M1,linfct = mcp(Season = "Tukey"))
However, here I got an error message "Error in terms.default(object) : no
terms component. Error in factor_contrasts(model) : no ?model.matrix? method
for ?model? found!".
Does the glht function work with a gls model? And if not, is there an other
way to perform multiple comparisons for a gls model?
I've searched this forum for an answer to this question, but I could only
found someone with the same q...
2008 Jul 25
0
glht after lmer with "$S4class-" and "missing model.matrix-" errors with DATA
...com>:
>> Hello everybody.
> In my case, calculating multiple comparisons (Tukey) after lmer
> produced the following two errors:
>
> > sv.mc <- glht(model.sv,linfct=mcp(comp="Tukey"))
> Error in x$terms : $ operator not defined for this S4 class
> Error in factor_contrasts(model) :
> no 'model.matrix' method for 'model' found!
>
> What I have done before:
>
> > sv.growth <- groupedData(length~meas|box_id,outer=~comp,data=sv.growth)
> > model.sv <- lmer(length~comp+(meas|box_id),data=sv.growth)
> Warning message:
>...