HI Toby,
I think that the problem is that you have not specified using Rail and
travel in the model statement, but rather are still using x1 and x2.
It also does not realize that you want x1 to be a factor. Try
x1=factor(c(1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,6,6,6))
x2=c(55,53,54,26,37,32,78,91,85,92,100,96,49,51,50,80,85,83)
eg1=data.frame(x1,x2);
colnames(eg1)=c("Rail","travel");
eg1gd=groupedData(travel~1|Rail,data=eg1)
print(eg1gd)
x11();
print(plot(eg1gd))
femodel=lm(x2~x1-1,data=eg1gd)
femodel=lm(travel~Rail-1,data=eg1gd)
summary(femodel)
Cheers,
Hank
On Jun 4, 2008, at 10:01 AM, Toby Marthews wrote:
Dear R-help,
I am trying to create groupedData objects using the nlme library. I'm
missing something basic, I know:
Here is the first example in ch.1 of Pinheiro & Bates (2000):
library(nlme)
x2=Rail$travel;x1=Rail$Rail;eg1=data.frame(x1,x2);eg1gd=Rail
print(eg1gd)
x11();print(plot(eg1gd))
femodel=lm(x2~x1-1,data=eg1gd)
print(femodel$coefficients)
Result:
x12 x15 x11 x16 x13 x14
31.66667 50.00000 54.00000 82.66667 84.66667 96.00000
...which works fine. This uses a built-in groupedData object called
"Rail"
that is part of the nlme library.
I am trying to 'recreate' this groupedData object. Here's what I've
done:
x1=c(1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,6,6,6);
x2=c(55,53,54,26,37,32,78,91,85,92,100,96,49,51,50,80,85,83)
eg1=data.frame(x1,x2);
colnames(eg1)=c("Rail","travel");
eg1gd=groupedData(travel~1|Rail,data=eg1)
print(eg1gd)
x11();
print(plot(eg1gd))
femodel=lm(x2~x1-1,data=eg1gd)
print(femodel$coefficients)
Result:
x1
16.49817
...but, as you can see, the coefficients I get at the end this time
are
completely different and I don't know why. Somehow, I am not
creating the
structure properly even though the formula and data values are all
correct.
Can anyone help? I've looked at the ?groupedData man page, but it
has no
solution to this.
Thanks very much for any advice,
Toby
Pinheiro JC & Bates DM (2000). Mixed-Effects Models in S and S-PLUS
(1st
ed.). Springer, New York.
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