Re: [R] Histograms with strings, grouped by repeat count (w/ data)

From: Matthew Trunnell <trunnell_at_cognix.net>
Date: Mon, 18 Jun 2007 19:22:09 -0700

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 out the distribution of the retries, such as No. Retries Count

1                 6
2                 13
3                 5
4                 3
5                 2
6                 1

That is, 6 people retried the download once; 13 people retried the download twice, etc. So it would be counting the frequency of the email-filename combination, and grouping those together by the number of retries. Does that make sense?

When I look at the counts object from your code, I can see that it's close to what I need. How do I access the properties of the counts object-- it's a table, right? If I look at counts[1,1], that returns 1. But how do I get at the row/col name of that cell? Is that cell an object? rownames(counts[1,1]) returns null.

Thanks,
Matt

On 6/18/07, jim holtman <jholtman_at_gmail.com> wrote:
> 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 States
> file2,3/4/2006 16:28,email3,United States
> file3,3/4/2006 19:13,email4,United States
> file2,3/4/2006 21:22,email5,India
> file4,3/4/2006 21:46,email6,United States
> file1,3/4/2006 22:04,email7,Japan
> file2,3/4/2006 22:09,email8,Croatia
> file1,3/4/2006 22:22,email7,Japan
> file1,3/4/2006 22:29,email9,India
> file1,3/4/2006 23:06,email6,United States
> file1,3/4/2006 23:33,email6,United States
> file5,3/4/2006 23:44,email10,China
> file1,3/5/2006 0:13,email9,India
> file2,3/5/2006 0:52,email8,Croatia
> file2,3/5/2006 0:54,email8,Croatia
> file2,3/5/2006 1:10,email5,India
> file6,3/5/2006 2:17,email9,India
> file2,3/5/2006 2:24,email11,Italy
> file7,3/5/2006 2:36,email12,Italy
> file8,3/5/2006 2:52,email12,Italy
> file2,3/5/2006 3:09,email13,United Kingdom
> file2,3/5/2006 4:02,email14,India
> file2,3/5/2006 4:07,email14,India
> file2,3/5/2006 4:14,email14,India
> file2,3/5/2006 4:37,email5,India
> file2,3/5/2006 4:44,email15,Belgium
> file1,3/5/2006 5:02,email9,India
> file1,3/5/2006 5:24,email16,Taiwan
> file2,3/5/2006 6:06,email17,Saudi Arabia
> file2,3/5/2006 7:32,email17,Saudi Arabia
> file2,3/5/2006 8:12,email18,Brazil
> file2,3/5/2006 8:26,email18,Brazil
> file2,3/5/2006 9:49,email19,United Kingdom
> file1,3/5/2006 10:49,email11,Italy
> file1,3/5/2006 11:16,email13,United Kingdom
> file1,3/5/2006 11:16,email13,United Kingdom
> file1,3/5/2006 11:45,email13,United Kingdom
> file1,3/5/2006 14:34,email20,Australia
> file9,3/5/2006 14:56,email20,Australia
> file9,3/5/2006 14:56,email20,Australia
> file5,3/5/2006 16:43,email21,United States
> file1,3/5/2006 17:17,email7,Japan
> file2,3/5/2006 17:26,email22,Japan
> file2,3/5/2006 17:27,email22,Japan
> file2,3/5/2006 17:33,email23,China
> file1,3/5/2006 17:45,email22,Japan
> file2,3/5/2006 17:45,email22,Japan
> file2,3/5/2006 17:59,email23,China
> file1,3/5/2006 18:27,email24,Japan
> file1,3/5/2006 18:47,email25,Taiwan
> file2,3/5/2006 18:48,email26,New Zealand
> file2,3/5/2006 19:15,email27,Canada
> file2,3/5/2006 19:23,email28,Canada
> file2,3/5/2006 19:24,email28,Canada
> file10,3/5/2006 19:49,email29,Japan
> file10,3/5/2006 19:52,email29,Japan
> file10,3/5/2006 19:57,email29,Japan
> file2,3/5/2006 20:01,email29,Japan
> file2,3/5/2006 20:02,email29,Japan
> file2,3/5/2006 20:06,email29,Japan"
> d <- read.csv(textConnection(x))
> barplot(table(d$filename), main="All Files", las=2) # plot counts for all
> the files
> # generate plots for each file name showing which emails used them
> counts <- table(d$filename, d$email_addr)
> for (i in seq(nrow(counts))){
> .index <- which(counts[i,] > 0)
> barplot(counts[i, .index], las=2,
> names.arg=colnames(counts)[.index], main=rownames(counts)[i])
> }
>
>
>
> On 6/18/07, Matthew Trunnell <trunnell_at_cognix.net> wrote:
> >
> > Hello R gurus,
> >
> > I just spent my first weekend wrestling with R, but so far have come
> > up empty handed.
> >
> > I have a dataset that represents file downloads; it has 4 dimensions:
> > date, filename, email, and country. (sample data below)
> >
> > My first goal is to get an idea of the frequency of repeated
> > downloads. Let me explain that. Some people tend to download
> > multiple times, e.g. if the download fails they keep trying over and
> > over. I'm trying to build a histogram that shows the repeat count
> > along the x-axis, that is, how many people downloaded once, twice,
> > three times, etc. I plan to compare the median of that before and
> > after we switched ISPs.
> >
> > To accomplish this, I'm assuming that I'll first need to combine the
> > email and filename columns so as to represent a single download
> > attempt by an individual. Does that sound right? Later, it would be
> > nice to limit the histogram to a single filename, country, or company.
> > I can probably figure that out myself after I understand how to write
> > this funky histogram expression.
> >
> > With the help of Verzani's introductory text, I've learned how to read
> > in the CSV data and do some simple tables, like this:
> >
> > hist(table(d$filename))
> > hist(table(d$filename[substring(d$filename, 1,
> 5)=="file1"]))
> > hist(sort(table(d$filename[substring(d$filename, 1,
> 5)=="file1"])))
> >
> > Obviously, these commands count the frequency of the files. What I'd
> > like to see are the repeats grouped along the x-axis; I'd like to
> > find, for all files, the distribution of retries. I hope that makes
> > sense. :)
> >
> > Can someone point me in the right direction? I'm very new to R and to
> > statistics, but I write code for a living. At this point I'd almost
> > be better off writing a program do this kind of simple counting... but
> > I have a feeling R would be so useful if I could just get past the
> > initial learning curve.
> >
> > Thank you in advance,
> > Matt
> >
> > Here's some real data, with the private info replaced :)
> >
> > d<-read.table
> (file="C:\\users\\trunnellm\\downloads\\statistics\\downloads.csv",
> > sep=",", quote="\"", header=TRUE)
> >
> > 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 States
> > file2,3/4/2006 16:28,email3,United States
> > file3,3/4/2006 19:13,email4,United States
> > file2,3/4/2006 21:22,email5,India
> > file4,3/4/2006 21:46,email6,United States
> > file1,3/4/2006 22:04,email7,Japan
> > file2,3/4/2006 22:09,email8,Croatia
> > file1,3/4/2006 22:22,email7,Japan
> > file1,3/4/2006 22:29,email9,India
> > file1,3/4/2006 23:06,email6,United States
> > file1,3/4/2006 23:33,email6,United States
> > file5,3/4/2006 23:44,email10,China
> > file1,3/5/2006 0:13,email9,India
> > file2,3/5/2006 0:52,email8,Croatia
> > file2,3/5/2006 0:54,email8,Croatia
> > file2,3/5/2006 1:10,email5,India
> > file6,3/5/2006 2:17,email9,India
> > file2,3/5/2006 2:24,email11,Italy
> > file7,3/5/2006 2:36,email12,Italy
> > file8,3/5/2006 2:52,email12,Italy
> > file2,3/5/2006 3:09,email13,United Kingdom
> > file2,3/5/2006 4:02,email14,India
> > file2,3/5/2006 4:07,email14,India
> > file2,3/5/2006 4:14,email14,India
> > file2,3/5/2006 4:37,email5,India
> > file2,3/5/2006 4:44,email15,Belgium
> > file1,3/5/2006 5:02,email9,India
> > file1,3/5/2006 5:24,email16,Taiwan
> > file2,3/5/2006 6:06,email17,Saudi Arabia
> > file2,3/5/2006 7:32,email17,Saudi Arabia
> > file2,3/5/2006 8:12,email18,Brazil
> > file2,3/5/2006 8:26,email18,Brazil
> > file2,3/5/2006 9:49,email19,United Kingdom
> > file1,3/5/2006 10:49,email11,Italy
> > file1,3/5/2006 11:16,email13,United Kingdom
> > file1,3/5/2006 11:16,email13,United Kingdom
> > file1,3/5/2006 11:45,email13,United Kingdom
> > file1,3/5/2006 14:34,email20,Australia
> > file9,3/5/2006 14:56,email20,Australia
> > file9,3/5/2006 14:56,email20,Australia
> > file5,3/5/2006 16:43,email21,United States
> > file1,3/5/2006 17:17,email7,Japan
> > file2,3/5/2006 17:26,email22,Japan
> > file2,3/5/2006 17:27,email22,Japan
> > file2,3/5/2006 17:33,email23,China
> > file1,3/5/2006 17:45,email22,Japan
> > file2,3/5/2006 17:45,email22,Japan
> > file2,3/5/2006 17:59,email23,China
> > file1,3/5/2006 18:27,email24,Japan
> > file1,3/5/2006 18:47,email25,Taiwan
> > file2,3/5/2006 18:48,email26,New Zealand
> > file2,3/5/2006 19:15,email27,Canada
> > file2,3/5/2006 19:23,email28,Canada
> > file2,3/5/2006 19:24,email28,Canada
> > file10,3/5/2006 19:49,email29,Japan
> > file10,3/5/2006 19:52,email29,Japan
> > file10,3/5/2006 19:57,email29,Japan
> > file2,3/5/2006 20:01,email29,Japan
> > file2,3/5/2006 20:02,email29,Japan
> > file2,3/5/2006 20:06,email29,Japan
> >
> > ______________________________________________
> > R-help_at_stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
>
>
> --
> Jim Holtman
> Cincinnati, OH
> +1 513 646 9390
>
> What is the problem you are trying to solve?



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