Displaying 1 result from an estimated 1 matches for "800967".
2009 Feb 27
3
Making tapply code more efficient
...r better efficiency. I was quite embarrased on this as our SAS
programmers cranked out programs that did this in the blink of an eye
(with a few variables), but R was spinning for days on my Ubuntu machine
and ultimately I saw a message that R was "killed".
The data I am working with has 800967 total rows and 31 total columns.
The ID variable I use as the index variable in tapply() has 326397
unique cases.
> length(unique(qq$student_unique_id))
[1] 326397
To give a sense of what my data look like and the actual problem,
consider the following:
qq <- data.frame(student_unique_id =...