Displaying 12 results from an estimated 12 matches for "lmermod".
Did you mean:
mermod
2013 Oct 18
3
pamer.fnc y la nueva versión de R
....factor(factor(rep(x = c("X", "Y")))) : + not meaningful for factors
> mod <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
Error en FUN(X[[1L]], ...) :
Invalid grouping factor specification, Subject
> summary(mod)
Linear mixed model fit by REML ['lmerMod']
Formula: RT ~ Condicion1 * Condicion2 + (1 | Subject)
Data: dat
REML criterion at convergence: 145.1507
Random effects:
Groups Name Variance Std.Dev.
Subject (Intercept) 0.0 0.00
Residual 340.9 18.46
Number of obs: 20, groups: Subject, 4
Fixed effects:...
2013 Oct 18
0
pamer.fnc y la nueva versión de R
..."X", "Y")))) : + not meaningful for factors
> > mod <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
> Error en FUN(X[[1L]], ...) :
> Invalid grouping factor specification, Subject
> > summary(mod)
> Linear mixed model fit by REML ['lmerMod']
> Formula: RT ~ Condicion1 * Condicion2 + (1 | Subject)
> Data: dat
>
> REML criterion at convergence: 145.1507
>
> Random effects:
> Groups Name Variance Std.Dev.
> Subject (Intercept) 0.0 0.00
> Residual 340.9 18.46
> Number...
2013 Oct 18
2
pamer.fnc y la nueva versión de R
...)) : + not meaningful for
> factors
> > > mod <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
> > Error en FUN(X[[1L]], ...) :
> > Invalid grouping factor specification, Subject
> > > summary(mod)
> > Linear mixed model fit by REML ['lmerMod']
> > Formula: RT ~ Condicion1 * Condicion2 + (1 | Subject)
> > Data: dat
> >
> > REML criterion at convergence: 145.1507
> >
> > Random effects:
> > Groups Name Variance Std.Dev.
> > Subject (Intercept) 0.0 0.00
> > Re...
2013 Oct 18
0
pamer.fnc y la nueva versión de R
...vier
#################################################################################################################################
# Estructura de los lmer
#################################################################################################################################
The old lmerMod structure was:
##############################
###########################################
> str(mod)
Formal class 'mer' [package "lme4"] with 34 slots
..@ env :<environment: 0xbfeda80>
..@ nlmodel : language I(x)
..@ frame :'data.frame': 20 obs. of 4 var...
2013 Dec 02
1
pamer.fnc y la nueva versión de R
...####################################################################################################################
> # Estructura de los lmer
>
> #################################################################################################################################
> The old lmerMod structure was:
> ##############################
> ###########################################
> > str(mod)
> Formal class 'mer' [package "lme4"] with 34 slots
> ..@ env :<environment: 0xbfeda80>
> ..@ nlmodel : language I(x)
> ..@ frame :'...
2017 Jun 19
1
mixed models lmer function help!!
...mor.null=lmer(volume~Time+(1|Subject), data=Rtumor, REML=FALSE)Rtumor.full=lmer(volume~Group+Time+(1|Subject), data=Rtumor, REML=FALSE)anova(Rtumor.null,Rtumor.full)
Here is my output?Rtumor<-lmer(volume~Group+Time+(1|Subject), data=Rtumor)> summary(Rtumor)Linear mixed model fit by REML ['lmerMod']Formula: volume ~ Group + Time + (1 | Subject)? ?Data: Rtumor
REML criterion at convergence: 1541.2
Scaled residuals:?? ? Min ? ? ?1Q ?Median ? ? ?3Q ? ? Max?-1.8006 -0.6348 -0.0658 ?0.3903 ?4.7551?
Random effects:?Groups ? Name ? ? ? ?Variance ?Std.Dev.??Subject ?(Intercept) 3.197e-09 5.654e-...
2013 Nov 25
4
lmer specification for random effects: contradictory reults
...at mod2 has the right level of complexity for this dataset.
However when I looked at its summary, I got a correlation of -0.87 for the
random effects relative to the T effect and -1 for the random effects
relatively to the Z.
summary(mod2)
Linear mixed model fit by maximum likelihood ['lmerMod']
Formula: dT_purs ~T + Z + (1 + T | subject) + (1 + Z | subject)
Data: x
AIC BIC logLik deviance
-695.6729 -654.9655 357.8364 -715.6729
Random effects:
Groups Name Variance Std.Dev. Corr
subject (Intercept) 0.0032063 0.05662...
2013 Oct 17
1
pamer.fnc y la nueva versión de R
...od <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
summary(mod)
pamer.fnc(mod)
#Error en qr(model@X) :
# error in evaluating the argument 'x' in selecting a method for
#function 'qr': Error: no hay un slot de nombre "X" para ese objeto
#de clase "lmerMod"
#----------------------------------------------------------------------------------------------------------------------------------
También os dejo un ejemplo de la ayuda del paquete. ¿Alguna idea de como
solucionar esto?
¿volver a una versión anterior? ¿Contactar con el autor?
Si alguien...
2017 Nov 29
0
How to extract coefficients from sequential (type 1), ANOVAs using lmer and lme
...of various lme4 functions.
>From the help page for lme4-anova (?lme4::anova.merMod)
> ?anova?: returns the sequential decomposition of the contributions
> of fixed-effects terms or, for multiple arguments, model
> comparison statistics. For objects of class ?lmerMod? the
> default behavior is to refit the models with ML if fitted
> with ?REML = TRUE?, this can be controlled via the ?refit?
> argument. See also ?anova?.
So lme4-anova will give you sequential tests; note, however, that lme4
won't calculate the denomina...
2017 Dec 26
1
identifying convergence or non-convergence of mixed-effects regression model in lme4 from model output
...39;m also including the structure of an example model that did converge
(but I can I tell from the output?).
List of 18
?$ methTitle?? : chr "Linear mixed model fit by maximum likelihood?
\nt-tests use? Satterthwaite approximations to degrees of freedom"
?$ objClass??? : atomic [1:1] lmerMod
? ..- attr(*, "package")= chr "lme4"
?$ devcomp???? :List of 2
? ..$ cmp : Named num [1:10] 176.85 59.09 95.43 3.84 99.27 ...
? .. ..- attr(*, "names")= chr [1:10] "ldL2" "ldRX2" "wrss" "ussq" ...
? ..$ dims: Named int [1:12...
2017 Dec 01
0
How to extract coefficients from sequential (type 1), ANOVAs using lmer and lme
...tions.
>
> From the help page for lme4-anova (?lme4::anova.merMod)
>
>> ?anova?: returns the sequential decomposition of the contributions
>> of fixed-effects terms or, for multiple arguments, model
>> comparison statistics. For objects of class ?lmerMod? the
>> default behavior is to refit the models with ML if fitted
>> with ?REML = TRUE?, this can be controlled via the ?refit?
>> argument. See also ?anova?.
>
> So lme4-anova will give you sequential tests; note, however, that lme4
> won'...
2013 Nov 25
0
R: lmer specification for random effects: contradictory reults
...mod2 has the right level of complexity for this dataset.
However when I looked at its summary, I got a correlation of -0.87 for the
random effects relative to the T effect and -1 for the random effects
relatively to the Z.
summary(mod2)
Linear mixed model fit by maximum likelihood [''lmerMod'']
Formula: dT_purs ~T + Z + (1 + T | subject) + (1 + Z | subject)
Data: x
AIC BIC logLik deviance
-695.6729 -654.9655 357.8364 -715.6729
Random effects:
Groups Name Variance Std.Dev. Corr
subject (Intercept) 0.0032063 0.05662
T...