September 2012

RcppArmadillo 0.3.4.2

September 25, 2012 | Thinking inside the box

The development of Armadillo 3.4.* continues with bug fixes and more sparse matrix support. Conrad release 3.4.2 this morning. I wrapped up the corresponding RcppArmadillo 0.3.4.2 before leaving for work, and this version should now have all CRAN mirr... [Read more...]

R Helper Functions

September 25, 2012 | bryan

If you do a lot of R programming, you probably have a list of R helper functions set aside in a script that you include on R startup or at the top of your code. In some cases helper functions add capabilities that aren’t otherwise available. In other cases, ...
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Playing with The Circular Law in Julia

September 25, 2012 | John Myles White

Introduction Statistically-trained readers of this blog will be very familiar with the Central Limit Theorem, which describes the asymptotic sampling distribution of the mean of a random vector composed of IID variables. Some of the most interesting recent work in mathematics has been focused on the development of increasingly powerful ... [Read more...]

Two particular courses and other upcoming events

September 25, 2012 | Pat

Featured I’ll be leading two courses in the near future: Value-at-Risk versus Expected Shortfall 2012 October 30-31, London. 30th: “Addressing the critical challenges and issues raised by the Basel proposal to replace VaR with Expected Shortfall” 31st: “Variability in Value-at-Risk and Expected Shortfall” led by Patrick Burns Details at CFP ...
[Read more...]

Thanks to our guest bloggers

September 25, 2012 | David Smith

I'm back from a very relaxing holiday in Australia. Many thanks to our guest bloggers for filling in over the last couple of weeks with some great information about R while I was away. If you missed any of the posts, be sure to check them out: Douglas McNair, "Population ... [Read more...]

Specifying Variables in R

September 25, 2012 | Bob Muenchen

R has several ways to specify which variables to use in an analysis. Some of the most frustrating errors can result from not understanding the order in which R searches for variables. This post demonstrates that order, hopefully smoothing your … Continue reading → [Read more...]

Learning Kernels SVM

September 25, 2012 | quantsignals

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 → [Read more...]

Visually-weighted regression plots, with Zelig

September 25, 2012 | is.R()

As a follow-up to yesterday’s post on producing visually-weighted regression plots, here is some code which illustrates the production of similar plots, but using Zelig’s convenient modeling and simulation functions. This code was produced... [Read more...]

From continuous to categorical

September 24, 2012 | Slawa Rokicki

During data analysis, it is often super useful to turn continuous variables into categorical ones.  In Stata you would do something like this:gen catvar=0replace catvar=1 if contvar__0 & contvar3 & co... [Read more...]

Data Frames and Transactions

September 24, 2012 | Wesley

Transactions are a very useful tool when dealing with data mining.  It provides a way to mine itemsets or rules on datasets. In R the data must be in transactions form.  If the data is only available in a data.frame then to create (or coerce) the data frame to ... [Read more...]

Coursera’s free online R course starts today

September 24, 2012 | David Smith

Coursera offers a number of on-line courses, all available for free and taught by experts in their fields. Today, the course Computing for Data Analysis begins. Taught by Johns Hopkins Biostatistics professor (and co-author of the Simply Statistics blog) Roger Peng, the course will teach you how to program in ... [Read more...]

An R Users’ Group in Davis

September 24, 2012 | Noam Ross

I’m excited to share that we’ve started a new R users’ group at UC Davis! Right now our main purpose is to run weekly 2-hour work/hack sessions where R users can get together to work through problems together. More info here [Read more...]
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