rOpenSci specializes in creating R libraries for accessing data resources on the web from R. Most times you request data from the web in R with our packages, you should have no problem. However, you evenutally will run into problems. In addition, there are advanced things you can do modifying ... [Read more...]

R is for Ratfor, R, RUNOFF, RPG and Ruby Ratfor is a structured form of Fortran from the days when structured programming was the in-thing and Fortran did not have much of it (lots got added in later revisions). I think its success came from allowing users to claim a ... [Read more...]

Another subject we took in the statistics class was the Gini index. Gini index or ratio or coefficient is used to calculate how much a certain transferable phenomenon such as income or stocks for instance, is concentrated. For example, say you are evaluating a company and you’d like to ... [Read more...]

Hi everyone! Today I found my old statistics workbooks and start wondering what I could get out of them. Statistics can look pretty boring when using only pen and paper, since many times you’re just making a lot of repetitive calculations. However, the results of those calculations might of ... [Read more...]

The R Foundation, the Austria-based non-profit founded in 2003 to oversee the R Project, recently held leadership elections and added some new members. The new R Foundation Board is: Co-Presidents: Duncan Murdoch, Martyn Plummer Secretary General: Martin Mächler Treasurer: Kurt Hornik Members at large: John Chambers, Brian Ripley, Dirk Eddelbuettel ... [Read more...]

R code coverage support via docker 2014-12-17 Source In my previous post , I used a R with built-in code coverage to compute the code coverage of some packages. Today I will show you how to install and use such a R with code coverage support. I just created a ... [Read more...]

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Extending the Standard Joint Model In a previous post we have briefly introduced the framework of joint models for longitudinal and time-to-event data, and we have shown how models of this type can be fitted in R using package JMbayes. In that post we ... [Read more...]

Shu Fan and I have developed a model for electricity demand forecasting that is now widely used in Australia for long-term forecasting of peak electricity demand. It has become known as the “Monash Electricity Forecasting Model”. We have decided to release an R package that implements our model so that ... [Read more...]

In spite of the banter between Yihui and me, I’m glad to hear that he may be interested in Snowdoop, as are some others.  I’m quite busy this week (finishing writing my Parallel Computation for Data Science book, and still have a lot of Fall Quarter grading to ... [Read more...]

Peter Norvig, the director of research at Google, wrote a nice essay on How to Write a Spelling Corrector a couple of years ago. That essay explains and implements a simple but effective spelling correction function in just 21 lines of Python. Highly recommended reading! I was wondering how many lines ... [Read more...]

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Apparently our last blog post was in August. Dang. Where did five months go? Blog guilt would be killing me, but I swear it was just yesterday that Mine posted. I will give a bit of review of some of … Continue reading → [Read more...]

IntroductionI was having a conversation with someone I know about weather forecasts the other day and it went something like this:"Yes, their forecasts are really not very good. They really need to work on improving them.""Well, yes, I think they're ok... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

Choosing the right colors for graphics is vital for good data visualization. There are 657 colors defined in R using color names. The names of these colors can be obtained using the R command: Some examples of color names in R include exotic sounding ones such as ‘steelblue1′, ‘thistle’, ‘mintcream’ and ... [Read more...]

Next week is going to be a vacation and most of us are going on vacation. Me too. However, I thought that this Christmas I would OFFER fellow researchers a GOOD SERVICE. Many of the biologists are learning to deal with their high-throughput sequen... [Read more...]