What I like most about the R and Python developer and user communities, is their incredible openness and generosity. One of the finest examples in the past year was the online course “Statistical Learning” taught by Stanford professors Trevor Hastie and Rob Tibshirani. In this MOOC they explain very understandably (even
There are a few exciting announcements I would love to share with R community. We feel very honored to host meetup and class offered by Kaggle #1 ranked Data Scientist, Owen Zhang and book author of Applied predictive modeling, Max Kuhn. Featured R experts meetup Featured talk given by Kaggle world ranked #1 Owen Zhang
I’ve put together an updated version of my partools package, including Snowdoop, an alternative to MapReduce algorithms. You can download it here, version 1.0.1. To review: The idea of Snowdoop is to create your own file chunking, rather than having something like Hadoop do it for you, and then using ordinary R coding to perform … Continue reading...
The purpose of this post is to show how to use
which was introduced
Rcpp. Especially, we focus on
R-tree data structure
for searching objects in space because only one spatial index is
implemented - R-tree Currently in this library.
Boost.Geometry which is part of the Boost C++ Libraries gives us algorithms
for solving geometry problems. In this library, the...
by Matt Sundquist co-founder of Plotly R, Plotly, and ggplot2 let you make, share, and collaborate on beautiful, interactive plots online. Let's see what we can do with the topographic data from Auckland's Maunga Whau Volcano that comes with R. Copy and paste this R code to make your first plot. The basic idea is: use ggplot2 code, add...
This tutorial describes how to integrate computable R code (and outputs) in a LaTeX documents in a such a way that a single file can generate two (or more) PDF files. This trick is particularly useful for creating worksheets for R courses. A very small introduction to integrating R code in LaTeX files R code
I have some experience teaching R programming (see, for instance, my online course). One of the atypical choices I make is to start by teaching Hadley Wickham’s ggplot2 package, rather than the built-in R plotting (see these videos).
Many times that I mention this choice to others involved in statistics education, they treat it like a mistake...
As a user
Imagine that you are starting to learn how to use a specific R package, lets call it foo. You will look at the vignette (if there is one), use help(package = foo), or look at the reference manual (for example, devtools' ref man). Eventually, you will open the help page for the function(s) you are interested...