Displaying 6 results from an estimated 6 matches for "condicion1".
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condicion2
2013 Oct 18
2
pamer.fnc y la nueva versión de R
...e(lme4)
> > require(LMERConvenienceFunctions)
> > dat <- data.frame(row.names= 1:20)
> > dat$Subject <-
> > factor(rep(x= c("S1","S2","S3","S4"), each= 5))
> > dat$RT <- rnorm( 20, mean= 500,sd= 20)
> > dat$Condicion1 <-
> > factor(rep(x= c("A","B"), each= 2))
> > dat$Condicion2 <-
> > factor(rep(x= c("X","Y")))
> > mod <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
> > summary(mod)
> >
> > pamer...
2013 Oct 18
0
pamer.fnc y la nueva versión de R
...###################
> str(mod)
Formal class 'mer' [package "lme4"] with 34 slots
..@ env :<environment: 0xbfeda80>
..@ nlmodel : language I(x)
..@ frame :'data.frame': 20 obs. of 4 variables:
.. ..$ RT : num [1:20] 490 514 476 502 520 ...
.. ..$ Condicion1: Factor w/ 2 levels "A","B": 1 1 2 2 1 1 2 2 1 1 ...
.. ..$ Condicion2: Factor w/ 2 levels "X","Y": 1 2 1 2 1 2 1 2 1 2 ...
.. ..$ Subject : Factor w/ 4 levels "S1","S2","S3",..: 1 1 1 1 1 2 2 2 2
2 ...
.. ..- attr(*, "ter...
2013 Oct 18
3
pamer.fnc y la nueva versión de R
...----------------------------------------------------
require(lme4)
require(LMERConvenienceFunctions)
dat <- data.frame(row.names= 1:20)
dat$Subject <-
factor(rep(x= c("S1","S2","S3","S4"), each= 5))
dat$RT <- rnorm( 20, mean= 500,sd= 20)
dat$Condicion1 <-
factor(rep(x= c("A","B"), each= 2))
dat$Condicion2 <-
factor(rep(x= c("X","Y")))
mod <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
summary(mod)
pamer.fnc(mod)
sessionInfo()
# -----------------------------------------...
2013 Dec 02
1
pamer.fnc y la nueva versión de R
...od)
> Formal class 'mer' [package "lme4"] with 34 slots
> ..@ env :<environment: 0xbfeda80>
> ..@ nlmodel : language I(x)
> ..@ frame :'data.frame': 20 obs. of 4 variables:
> .. ..$ RT : num [1:20] 490 514 476 502 520 ...
> .. ..$ Condicion1: Factor w/ 2 levels "A","B": 1 1 2 2 1 1 2 2 1 1 ...
> .. ..$ Condicion2: Factor w/ 2 levels "X","Y": 1 2 1 2 1 2 1 2 1 2 ...
> .. ..$ Subject : Factor w/ 4 levels "S1","S2","S3",..: 1 1 1 1 1 2 2 2 2
> 2 ...
> .. ....
2013 Oct 18
0
pamer.fnc y la nueva versión de R
...-----------------
> require(lme4)
> require(LMERConvenienceFunctions)
> dat <- data.frame(row.names= 1:20)
> dat$Subject <-
> factor(rep(x= c("S1","S2","S3","S4"), each= 5))
> dat$RT <- rnorm( 20, mean= 500,sd= 20)
> dat$Condicion1 <-
> factor(rep(x= c("A","B"), each= 2))
> dat$Condicion2 <-
> factor(rep(x= c("X","Y")))
> mod <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
> summary(mod)
>
> pamer.fnc(mod)
> sessionInfo()
>...
2013 Oct 17
1
pamer.fnc y la nueva versión de R
...-----------------------------------------------------------------------------------------------------------
dat <- data.frame(row.names= 1:20)
dat$Subject <-
factor(rep(x= c("S1","S2","S3","S4"), each= 5))
dat$RT <- rnorm( 20, mean= 500,sd= 20)
dat$Condicion1 <-
factor(rep(x= c("A","B"), each= 2))
dat$Condicion2 <-
factor(rep(x= c("X","Y")))
mod <- lmer( RT ~ Condicion1 * Condicion2 + (1|Subject), data=dat)
summary(mod)
pamer.fnc(mod)
#Error en qr(model@X) :
# error in evaluating the argument ...