Repeated Measure different results to spss

dat <- read.table("mb2.dat", header=TRUE,

summary(aov(Score ~ Group * Task + Error(Id), dat))

Hi,

I have some problems with my repeated measures analysis. When I compute it
with SPSS I get different results than with R. Probably I am doing something
wrong in R.
I have two groups (1,2) both having to solve a task under two conditions
(1,2). That is one between subject factor (group) and one within subject
factor (task). I tried the following:

aov(Score ~factor(Group)*factor(Task)+Error(Id)))
aov(Score ~factor(Group)*factor(Task))
but it leads to different results than my spss. I definitely miss some point
here .

Thanks for you help.

Id	Group	Task	Score
1	1	1	0.39
2	1	1	0.48
3	1	1	0.59
4	1	1	0.33
5	1	1	0.38
6	1	1	0.37
7	1	1	0.47
8	1	1	0.2
9	1	1	0.29
10	1	1	0.41
11	1	1	0.24
12	1	1	0.28
13	1	1	0.32
14	1	1	0.26
15	2	1	0.65
16	2	1	0.41
17	2	1	0.62
18	2	1	0.39
19	2	1	0.81
20	2	1	0.34
21	2	1	0.32
22	2	1	0.33
23	2	1	0.33
24	2	1	0.38
1	1	2	0.46
2	1	2	0.27
3	1	2	0.41
4	1	2	0.13
5	1	2	0.41
6	1	2	0.36
7	1	2	0.32
8	1	2	0.33
9	1	2	0.44
10	1	2	0.36
11	1	2	0.2
12	1	2	0.3
13	1	2	0.27
14	1	2	0.4
15	2	2	0.35
16	2	2	0.37
17	2	2	0.34
18	2	2	0.24
19	2	2	0.44
20	2	2	0.34
21	2	2	0.4
22	2	2	0.28
23	2	2	0.32
24	2	2	0.33

Hi, 

I have some problems with my repeated measures analysis. When I compute it
with SPSS I get different results than with R. Probably I am doing something
wrong in R. 
I have two groups (1,2) both having to solve a task under two conditions
(1,2). That is one between subject factor (group) and one within subject
factor (task). I tried the following:
 
 aov(Score ~factor(Group)*factor(Task)+Error(Id)))
 aov(Score ~factor(Group)*factor(Task))
but it leads to different results than my spss. I definitely miss some point
here .