Hi,
On 04/23/2013 10:39 AM, Martin Morgan wrote:
On 04/21/2013 10:45 PM, Steffen Neumann wrote:
Hi Robert,
On Fri, 2013-04-19 at 11:51 -0400, Robert M. Flight wrote:
...
The reason is alt-metrics. I thought it would be cool to have a little R
package that takes a supplied Bioconductor package name, and compares
its
download statistics to the download statistics for all the other
Bioconductor packages, essentially providing a percentile ranking.
... and if you *then* use BioC Views to sub-categorize that,
this would be very cool!
As a first step, we could make the count data available as a
tabulated file, or an .rda file (with 2 serialized matrices in
it). Would cover the last 5 years and have 1 row per month.
Would be updated twice a week (like the HTML report itself) and
available thru a permanent link. I don't expect the file would
be too big, probably < 10Mb (it's just the counts, not all the
hits). Then anybody could do whatever they want with it e.g.
write a little R package that does stats on it.
These counts are currently total downloads, rather than from distinct
IPs, and are grossly inflated. They are based on scrapping web logs and
these sometimes have additional problems. The counts will be updated to
distinct IP downloads (available on individual package pages) in the
near future; maybe there will be some interruptions as that gets
implemented.
Just to clarify, both counts (total downloads, and distinct IPs) are
already displayed. The proposal is to make the latter the primary count,
in particular to generate the top-30 based on it.
Also someone asked to use a log scale on the y-axis. This is done
today:
http://bioconductor.org/packages/stats/
(The crazy range on the y-axis will be corrected next time the stats are
generated i.e. on Friday.)
Cheers,
H.
Martin
Yours,
Steffen
--
Hervé Pagès
Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N, M1-B514
P.O. Box 19024
Seattle, WA 98109-1024
E-mail: [email protected]
Phone: (206) 667-5791
Fax: (206) 667-1319
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