t; Steve
>
> -Original Message-
> From: Jacques Veslot [mailto:[EMAIL PROTECTED]
> Sent: Friday, April 21, 2006 11:58 AM
> To: Steven Lacey
> Cc: r-help@stat.math.ethz.ch
> Subject: Re: [R] aov contrasts residual error calculation
>
>
>
> why not using lme()
;
> Steve
>
> -Original Message-
> From: Jacques Veslot [mailto:[EMAIL PROTECTED]
> Sent: Friday, April 21, 2006 11:58 AM
> To: Steven Lacey
> Cc: r-help@stat.math.ethz.ch
> Subject: Re: [R] aov contrasts residual error calculation
>
>
>
>
with respect to aov
would be greatly appreciated.
Steve
-Original Message-
From: Jacques Veslot [mailto:[EMAIL PROTECTED]
Sent: Friday, April 21, 2006 11:58 AM
To: Steven Lacey
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] aov contrasts residual error calculation
why not using lme() ?
why not using lme() ?
first, you need transform data:
dat2 <- as.data.frame(lapply(subset(dat, sel=-c(A,B,C)), rep, 3))
dat2$y <- unlist(subset(dat, sel=c(A,B,C)), F, F)
dat2$cond <- factor(rep(c("A","B","C"), each=nrow(dat)))
dat2$inter <- factor(dat2$map):factor(
Hi,
I am using aov with an Error component to model some repeated measures data.
By repeated measures I mean the data look something like this...
subjABC
1 411 15
2 312 17
3 5914
4 610 18
Fo
Hi,
I am using aov with an Error component to model some repeated measures data.
By repeated measures I mean the data look something like this...
subjABC
1 411 15
2 312 17
3 5914
4 610 18
Fo
