Dear R users,
I want to run nested fixed-factor Anova in R on different experiments.
In this toy example I have 3 levels of the main factor x1 and 7 levels
of the nested factor z1
x1 and continuous response variable y1.
x1
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2
Dear Hsin-Ya,
The problem here is that subject is a factor with 14 levels, and sequence again is a factor with 2
levels; so the subject:sequence interaction already uses up another (13*1)=13 d.f.; given that there
are only 28 replicates, it is not surprising that there are no residual degrees
-help@r-project.org
Betreff: [R] Problems with lm()
Dear all,
I am trying to fit a multiple linear regression model to a table of data.
My
data.frame is like this ...
fit.data - data.frame(y, x1, x2, x3, x4, x5, x6), then I use the linea
regression command ...
lm(formula = y ~ x1 + x2
Dear all,
I am trying to fit a multiple linear regression model to a table of data. My
data.frame is like this ...
fit.data - data.frame(y, x1, x2, x3, x4, x5, x6), then I use the linea
regression command ...
lm(formula = y ~ x1 + x2 + x3 + x4 + x5 + x6, data = fit.data)
however, for some
PROTECTED] [mailto:[EMAIL PROTECTED] Im
Auftrag von Chibisi Chima-Okereke
Gesendet: Monday, July 07, 2008 8:09 PM
An: r-help@r-project.org
Betreff: [R] Problems with lm()
Dear all,
I am trying to fit a multiple linear regression model to a table of data. My
data.frame is like this ...
fit.data
Dear Dr. Dalgaard
Sorry for delay reply..
That's exactly what I was looking for - thanks a lot.
Hsin-Ya
Peter Dalgaard wrote:
oops, this got sent as reply to Andrew only
Andrew Robinson wrote:
In your data, subject is nested within sequence. Was that your
intention?
Presumably
Dear Dr. Andrew Robinson:
Thanks for your reply. In my data, subject is nested within sequence.
According to Dr. Christoph's reply, I have change the sequence data.
It seems not work in R. However, I am sure that I run the same data with
GLM in SPSS that I posted in first time. I really do
Dear Hsin-Ya,
Then it might be that you have checked Type 3 sums of squares in SPSS,
while R uses type 1 by default.
Dear Dr. Andrew Robinson:
Thanks for your reply. In my data, subject is nested within sequence.
According to Dr. Christoph's reply, I have change the sequence data.
It
oops, this got sent as reply to Andrew only
Andrew Robinson wrote:
In your data, subject is nested within sequence. Was that your
intention?
Presumably yes. This looks like a standard cross-over design.
I fail to see what the interaction between subject and sequence might
mean, so I also
Dear R-users:
I am a new R-user and I have a question about lm
function. Here is my data.
a-c(1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,14,14)
b-c(1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2)
c-c(2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2)
Dear Hsin-Ya Lee,
The problem seems to be that every subject always only received one sequence:
sequence
subject 1 2
1 0 2
2 2 0
3 0 2
4 2 0
5 0 2
6 2 0
7 0 2
8 2 0
9 0 2
10 2 0
11 0 2
12 2 0
13 0 2
14 2 0
You
In your data, subject is nested within sequence. Was that your
intention?
a-c(1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,14,14)
b-c(1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2,1,2)
c-c(2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2,2,1,1,2)
12 matches
Mail list logo