Machine Learning and Kernels A common application of machine learning (ML) is the learning and classification of a set of raw data features by a ML algorithm or technique. In this context a ML kernel acts to the ML algorithm … Continue reading →

ggplot2 is one of the most elegant R package for data analysis and visualization. Recently I gave a tutorial on ggplot2 package. You could find my ggplot2 notes here(click the image below). You could find my presentation slide below. The … Continue reading →The post R Graphics with ggplot2 appeared first on Fiddling with data and...

I’m happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and RCurl packages to validate and import data from hockey-reference.com for

Today's guest post comes from Yihui Xie, author of the knitr package — ed. Hi, this is Yihui Xie, and I'm guest posting on the Revolutions blog to talk about one aspect of the knitr package: how we can integrate data analysis and reporting in R with the Web. This post includes both the work that has been done...

Because I am self-taught in many of the areas of computer science and more advanced statistics and probability theory I am most interested in, and because I have a deep aversion both to looking foolish and being full of it...

RStudio and knitr are an excellent conbination for generating dynamic reports. But in this blog, I will show you how to generate HTML-style presentaion using R only. OK, I confess that we still need something else: deck.js and markdown and R.utils. ...