Dear R-list,
the following code had been running well over the last months:
exam <- matrix(rnorm(100,0,1), 10, 10)
gg <- factor(c(rep("A", 5), rep("B", 5)))
mlmfit <- lm(exam ~ 1); mlmfitG <- lm(exam ~ gg)
result <- anova(mlmfitG, mlmfit, X=~0, M=~1)
Until, all of a sudd
fore, this problem is so simple, that I find it hard to understand
> where there's room for error, but I wanted to check against SAS to test my
> sanity (a procedure that will likely get a rise out of some list members).
>
> Maybe you should send a message to the SPSS help list.
>
-
I hope this helps,
John
--
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Dear R-list!
My question is related to an Anova including within and between subject
factors and unequal group sizes.
Here is a minimal example of what I did:
library(car)
within1 <- c(1,2,3,4,5,6,4,5,3,2); within2 <- c(3,4,3,4,3,4,3,4,5,4)
values <- data.frame(w1 = within1, w2 = within2)
valu
Thank you Patrick and Gabor!
Sorry, I think I have not explainend it well.
The purpose is as follows:
names <- letters[1:3]
values <- data.frame(a = 1:3, b = 4:6, c = 7:9)
With more complicated objects similar to 'names' and 'values' I wrote
the following line to assign the elements of the
Dear R-users,
I would like to assign elements to a list in the following manner:
mylist <- list(a = a, b = b, c = c)
To do this I tried
myexpr <- expression(a = a, b = b, c = c)
mylist <- list( eval(myexpr) )
It ends up by overwriting a when b is assigned and b when c is assigned.
Additionally
Dear John,
thank you for the kind offer!
Sorry, I just made a mistake anywhere I can not trace back, now it works
as you described it. Thank you again!
Dear Peter,
thank you for the information, I did not know about the quotation marks.
It indeed works using "G-G Pr"!
The SPSS and R output for
Dear John and Peter,
thank you both very much for your help!
Everything works fine now!
John, Anova also works very fine. Thank you very much!
However, if I had more than 2 levels for the between factor the same
thing as mentioned occured.
The degrees of freedom showed that Anova calculated it
group but for example 24 from 2 groups, the output treats it as if
all subjects came from the same group, for example for main effect A the
dfs are 1 and 35. SPSS puts out 1 and 33 which is what I would have
expected.. ..
Peter Dalgaard schrieb:
Nils Skotara wrote:
Thank you, this helped me
but whatever I tried afterwards did not seem logical to me.
I am afraid I do not understand how to include the between factor.
I cannot include ~D into M or X because it has length 24 whereas the other
factors have 28...
Zitat von Peter Dalgaard <[EMAIL PROTECTED]>:
> Skotara wrote:
4
I also don't know how I can calculate the various interactions..
My read is I should change the second argument mlmfit0, too, but I can't
figure out how...
Do you know what to do?
Thank you very much!
Peter Dalgaard schrieb:
Skotara wrote:
Dear all,
I apologize for my basic q
Dear all,
I apologize for my basic question.
I try to calculate an anova for repeated measurements with 3 factors
(A,B,C) having 2, 2, and 7 levels.
or with an additional fourth between subjects factor D.
Everything works fine using
aov(val ~ A*B*C + Error(subject/ (A*B*C) ) ) or
aov(val ~ (D
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