Hi All
I was wondering if I can avoid a time-consuming for loop on my 60 obs
dataset.
school_id y
8 9.87
8 8.89
8 7.89
8 8.88
20 6.78
20 9.99
20 8.79
31 10.1
31 11
There are, say, 143 different schools
as.integer(factor(dta[[school_id]]))
b
On Jul 20, 2007, at 9:26 PM, [EMAIL PROTECTED] wrote:
Hi All
I was wondering if I can avoid a time-consuming for loop on my
60 obs dataset.
school_id y
8 9.87
8 8.89
8 7.89
8 8.88
20 6.78
[EMAIL PROTECTED]
I was wondering if I can avoid a time-consuming for loop on my 60
obs dataset.
school_id y
8 9.87
8 8.89
8 7.89
8 8.88
20 6.78
20 9.99
20 8.79
31 10.1
31 11
There are, say, 143
