I have included data at the bottom of this email. It can be read in by
highlighting the data and then using this command: dat -
read.table(clipboard, header = TRUE,sep=\t)
I can obtain solutions with both of these:
library(gee)
fit.gee-gee(score ~ chem + time, id=id,
Sorry. I did not output the NAs correctly.
dat - read.table(clipboard, header = TRUE)
id treat time1 time2 time3 time4 chem1 chem2 chem3 chem4 time score chem
1 1 20 18 15 15 1000 1100 1200 1300 0 20 1000
1 1 20 18 15 15 1000 1100 1200 1300 2 18 1100
1 1 20 18 15 15 1000 1100 1200 1300 3 15 1200
On 30/10/2008, at 9:08 AM, Juliet Hannah wrote:
I have included data at the bottom of this email. It can be read in by
highlighting the data and then using this command: dat -
read.table(clipboard, header = TRUE,sep=\t)
I can obtain solutions with both of these:
library(gee)
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