Hi George
I'm running ubuntu dapper badger with 2.4.0.
add the line
deb http://cran.R-project.org/bin/linux/ubuntu dapper/
to your /etc/apt/sources.list
-Alex Brown
On 13 Dec 2006, at 02:20, George Nachman wrote:
Thanks, everyone, for the help!
Bill:
This looks like a really
I have a data frame that looks like this:
url time somethingirrelevant visits
www.foo.com 1:00 xxx 100
www.foo.com 1:00 yyy 50
www.foo.com 2:00 xyz 25
www.bar.com 1:00 xxx 200
www.bar.com 1:00 zzz 200
You could look at the reshape package, using sum as the aggregate function.
HTH,
Simon.
George Nachman wrote:
I have a data frame that looks like this:
url time somethingirrelevant visits
www.foo.com 1:00 xxx 100
www.foo.com 1:00 yyy 50
www.foo.com
On Tue, 2006-12-12 at 15:34 -0800, George Nachman wrote:
I have a data frame that looks like this:
url time somethingirrelevant visits
www.foo.com 1:00 xxx 100
www.foo.com 1:00 yyy 50
www.foo.com 2:00 xyz 25
www.bar.com 1:00 xxx
x
url time somethingirrelevant visits
1 www.foo.com 1:00 xxx100
2 www.foo.com 1:00 yyy 50
3 www.foo.com 2:00 xyz 25
4 www.bar.com 1:00 xxx200
5 www.bar.com 1:00 zzz200
6 www.foo.com 2:00
Here is an elementary way of doing it:
dat
url time somethingirrelevant visits
1 www.foo.com 1:00 xxx100
2 www.foo.com 1:00 yyy 50
3 www.foo.com 2:00 xyz 25
4 www.bar.com 1:00 xxx200
5 www.bar.com 1:00
Thanks, everyone, for the help!
Bill:
This looks like a really great general solution, but unfortunately I
get an error when I call sumUp:
Error in [.data.frame(dat, , key_list, drop = FALSE) :
invalid subscript type
I'm running 2.2.1 because that's the latest I can get on
