Top 20 R posts of 2011 (and some R-bloggers statistics)

R-bloggers.com is now two years young. The site is an (unofficial) online R journal written by bloggers who agreed to contribute their R articles to the site. In this post I wish to celebrate R-bloggers’ second birthmounth by sharing with you: Links to the top 20 posts of 2011 Statistics on “how well” R-bloggers did […]

R-bloggers.com is now two years young. The site is an (unofficial) online R journal written by bloggers who agreed to contribute their R articles to the site.
In this post I wish to celebrate R-bloggers’ second birthmounth by sharing with you:

  1. Links to the top 20 posts of 2011
  2. Statistics on “how well” R-bloggers did this year
  3. An invitation for sponsors/supporters to help keep the site alive

1. Top 24 R posts of 2011

R-bloggers’ success is largely owed to the content submitted by the R bloggers themselves.  The R community currently has almost 300 active R bloggers (links to the blogs are clearly visible in the right navigation bar on the R-bloggers homepage).  In the past year, these bloggers wrote over 2800 posts about R.

Here is a list of the top visited posts on the site in 2011:

  1. How much of r is written in r
  2. Cpu and gpu trends over time
  3. Select operations on r data frames
  4. Getting started with sweave r latex eclipse statet texlipse
  5. Delete rows from r data frame
  6. Amanda cox on how the new york times graphics department uses r
  7. Hipster programming languages
  8. Opendata r google easy maps
  9. New r generated video has stackoverflow posting behavior changed over time
  10. SNA visualising an email box with r
  11. 100 prisoners 100 lines of code
  12. Google ai challenge languages used by the best programmers
  13. Basics on markov chain for parents
  14. Top 10 algorithms in data mining
  15. A million random digits review of reviews
  16. Character occurrence in passwords
  17. Setting graph margins in r using the par function and lots of cow milk
  18. The new r compiler package in r 2 13 0 some first experiments
  19. Tutorial principal components analysis pca in r
  20. Making guis using c and r with the help of r net

2. Statistics – how well did R-bloggers do this year

There are several matrices one can consider when evaluating the success of a website.  I’ll present a few of them here and will begin by talking about the visitors to the site.

This year, the site was visited by over 665,000 “Unique Visitors.”  There was a total of over 1.4 million visits and over 2.8 million page-views.  People have surfed the site from over 200 countries, with the greatest number of visitors coming from the United States (~40%) and then followed by the United Kingdom (6.9%), Germany (6.6%), Canada (4.7%), France (3.3%), and other countries.

The site has received between 15,000 to 45,000 visits a week in the past few months, and I suspect this number will remain stable in the next few months (unless something very interesting will happen).

I believe this number will stay constant thanks to visitors’ loyalty: 55% of the site’s visits came from returning users.

Another indicator of reader loyalty is the number of subscribers to R-bloggers as counted by feedburner, which includes both RSS readers and e-mail subscribers.  The range of subscribers is estimated to be between 5600 to 5900.

Thus, I am very happy to see that R-bloggers continues to succeed in offering a real service to the global R users community.

3. Invitation to sponsor/advertise on R-bloggers

This year I was sadly accused by google adsense of click fraud (which I did not do, but have no way of proving my innocence).  Therefor, I am no longer able to use google adsense to sustain R-bloggers high monthly bills, and I turned to rely on direct  sponsoring of R-bloggers.

If you are interested in sponsoring/placing-ads/supporting R-bloggers, then you are welcome to contact me.

Happy new year!
Yours,
Tal Galili

2 thoughts on “Top 20 R posts of 2011 (and some R-bloggers statistics)”

  1. Your links to the blogs have %20 at the end. When I try to open them it redirects me to the r-blogger home page. Can you fix this? Otherwise great job. Long live R!

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