Contrary to previous reports, we started blogging after our book was published, with the conceit that we were adding examples to the book. Today marks the second anniversary of the book’s appearance and of the blog. To celebrate, we’re turning over our calendar, and starting a new volume of entries– Example 9.1 will appear on July 5th.

It’s very difficult to get an accurate measure of our viewership. As I write this, Feedburner reports about 650 regular readers, but this omits people who see us on R-bloggers and SAS Community Planet or SAS-X. As consumers of those aggregators, we assume there are many others who see us without subscribing directly.

We also get a fair number of views that derive directly from Google searches, which means we must be doing something right. Google Analytics reports over 100,000 total pageviews, while Feedburner claims 250,000.

So far, our most popular entries, according to feedburner are:

Example 7.38: Kaplan-Meier survival estimates

Example 7.39: Nelson-Aalen estimate of survivorship

Example 8.3: Pyramid plots

Example 7.30: Simulate censored survival data

Example 8.5: Bubble plots part 3

Blogger’s internal metrics vary somewhat:

Example 7.35: Propensity score matching

Example 8.7: Hosmer and Lemeshow goodness-of-fit

Example 7.38: Kaplan-Meier survival estimates

Example 7.30: Simulate censored survival data

Example 7.25: Compare draws with distribution

All of your attention is really gratifying, and we hope we’re useful to people– it’s hard work finding new material and collaborating on a new post every week!

*Related*

To

**leave a comment** for the author, please follow the link and comment on their blog:

** SAS and R**.

R-bloggers.com offers

**daily e-mail updates** about

R news and

tutorials on topics such as:

Data science,

Big Data, R jobs, visualization (

ggplot2,

Boxplots,

maps,

animation), programming (

RStudio,

Sweave,

LaTeX,

SQL,

Eclipse,

git,

hadoop,

Web Scraping) statistics (

regression,

PCA,

time series,

trading) and more...

If you got this far, why not

__subscribe for updates__ from the site? Choose your flavor:

e-mail,

twitter,

RSS, or

facebook...