[This article was first published on Win-Vector Blog » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
As readers have surely noticed the Win-Vector LLC blog isn’t a stream of short notes, but instead a collection of long technical articles. It is the only way we can properly treat topics of consequence.
What not everybody may have noticed is a number of these articles are serialized into series for deeper comprehension. The key series include:
- Statistics to English translation. This series tries to find vibrant applications and explanations of standard good statistical practices, to make them more approachable to the non statistician.
- Statistics as it should be. This series tries to cover cutting edge machine learning techniques, and then adapt and explain them in traditional statistical terms.
- R as it is. This series tries to teach the statistical programming language R “warts and all” so we can see it as the versatile and powerful data science tool that it is.
To get a taste of what we are up to in our writing please checkout our blog highlights and these series. For deeper treatments of more operational topics also check out our book Practical Data Science with R.
Or if you have something particular you need solved consider engaging us at Win-Vector LLC for data science consulting and/or training.
To leave a comment for the author, please follow the link and comment on their blog: Win-Vector Blog » R.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.