Displaying 4 results from an estimated 4 matches for "gluc".
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2007 Nov 14
2
Help with Bartlett's test on linear model
...nd I cannot find any examples on the internet. There are
some examples for comparisons of variances but not linear models.
If I take the hellung data set, which is the example in Dalgaard's book.
I know var.test works fine but I want to learn how to use the Bartlett's
test.
> hellung$glucose <- factor(hellung$glucose, labels=c("Yes","No"))
> attach(hellung)
> tethym.gluc <- hellung[glucose=="Yes",]
> tethym.nogluc <- hellung[glucose=="No",]
> lm.nogluc <- lm(log10(diameter)~log10(conc), data=tethym.nogluc)
> lm....
2007 Nov 22
3
anova planned comparisons/contrasts
...,
I'm trying to figure out how anova works in R by translating the
examples in Sokal And Rohlf's (1995 3rd edition) Biometry. I've hit a
snag with planned comparisons, their box 9.4 and section 9.6. It's a
basic anova design:
treatment <- factor(rep(c("control", "glucose", "fructose",
"gluc+fruct", "sucrose"), each = 10))
length <- c(75, 67, 70, 75, 65, 71, 67, 67, 76, 68,
57, 58, 60, 59, 62, 60, 60, 57, 59, 61,
58, 61, 56, 58, 57, 56, 61, 60, 57, 58,
58, 59, 58, 61, 5...
2013 Nov 07
2
Error running MuMIn dredge function using glmer models
...t I am getting an error message that I cannot decode. This error only occurs when I use glmer. When I use an lmer analysis on a different response variable every works great.
Example using a simplified glmer model
global model:
mod<- glmer(cbind(st$X2.REP.LIVE, st$X2.REP.DEAD) ~ DOMESTICATION*GLUC + (1|PAIR), data=st, na.action=na.omit , family=binomial)
The response variables are the number of survival and dead insects (successes and failures)
DOMESTICATION is a 2 level factor.
GLUC is a continuous variable.
PAIR is coded as a factor or character (both ways fail).
This model functions co...
2011 Feb 08
3
intervals {nlme} lower CI greater than upper CI !!!????
Hi folks...
check this out..
> GLU<-lme(gluc~rt*cd4+sex+age+rf+nadir+pharmac+factor(hcv)+factor(hbs)+
+ haartd+hivdur+factor(arv),
+ random= ~rt|id, na.action=na.omit)
> intervals(GLU)$fixed
lower est. upper
(Intercept) 67.3467070345 7.362307e+01 7.989944e+01
rt *0.0148050160*...