On 6/18/07, Matthew Trunnell <[EMAIL PROTECTED]> wrote:
> Aha! So to expand that from the original expression,
>
> > table(table(d$filename, d$email_addr))
>
> 0 1 2 3
> 253 20 8 9
>
> I think that is exactly what I'm looking for. I knew it must be
> simple!!! What does the 0 column
Aha! So to expand that from the original expression,
> table(table(d$filename, d$email_addr))
0 1 2 3
253 20 8 9
I think that is exactly what I'm looking for. I knew it must be
simple!!! What does the 0 column represent?
Also, does this tell me the same thing, filtered by Japan?
If you are running on windows, make sure you have 'recording' checked in the
history window of the graphics. You can also put the output to a pdf file
and view it later.
If you use table on the counts matrix:
> table(counts)
counts
0 1 2 3
253 20 8 9
>
this shows that there were 20
Jim,
Thanks for the quick reply! When I run your code, I end up with a
single barplot of one datapoint, file9 vs email20 == 2.0. I see the
call to barplot is inside a for loop... maybe it's zooming through the
display of many barplots, but all I see is the last one?
In any case, I need to figure
You should be using barplot and not hist. I think this produces what you
want:
x <- "filename,last_modified,email_addr,country_residence
file1,3/4/2006 13:54,email1,Korea (South)
file2,3/4/2006 14:33,email2,United States
file2,3/4/2006 16:03,email2,United States
file2,3/4/2006 16:17,email3,United
Hello R gurus,
I just spent my first weekend wrestling with R, but so far have come
up empty handed.
I have a dataset that represents file downloads; it has 4 dimensions:
date, filename, email, and country. (sample data below)
My first goal is to get an idea of the frequency of repeated
downloa
