Monthly Archives: July 2012

A primer on R2OpenBUGS using the simple linear regression example.

July 11, 2012
By
A primer on R2OpenBUGS using the simple linear regression example.

I make using OpenBUGS fun (and easier)! I've been a BUGS, WinBUGS and OpenBUGS user for some time now (20 years and counting!). The combination of R and OpenBUGS using the R2OpenBUGS package allows the user to bring together data preparation...

Read more »

Rcpp is smoking fast for agent-based models in data frames

July 11, 2012
By

In a previous post, I discussed different approaches to speeding up some loops in data frames. In particular, R data frames provide a simple framework for representing large cohorts of agents in stochastic epidemiological models, such as those representing disease … Continue reading →

Read more »

Bridget Riley exhibition in London

July 11, 2012
By
Bridget Riley exhibition in London

The other day I saw a fantastic exhibition of work by Bridget Riley. Karsten Schubert, who is Riley's main agent, has a some of her most famous and influential artwork from 1960 - 1966 on display, including the seminal Moving Squares from 1961.Photo of...

Read more »

Health Care Costs – Part 2, "Unhealthy Things Not Related to the Problem"

July 11, 2012
By
Health Care Costs – Part 2, "Unhealthy Things Not Related to the Problem"

Lighting Up Way back in the day, folks believed that smoking was not only cool but also completely safe. As Marcel Danesi states in his book Of Cigarettes, High Heels, and Other Interesting Things, Second Edition: An Introduction to Semiotics ...

Read more »

In case you missed it: June 2012 Roundup

July 11, 2012
By

In case you missed them, here are some articles from June of particular interest to R users. The FDA goes on the record that it's OK to use R for drug trials. A review of talks at the useR! 2012 conference. Using the negative binomial distribution to convert monthly fecundity into the chances of having a baby in a...

Read more »

Getting numpy data into R — Take Two

July 10, 2012
By

A couple of days ago, I had posted a short Python script to convert numpy files into a simple binary format which R can read quickly. Nice, but still needing an extra file. Shortly thereafter, I found Carl Rogers cnpy library which makes reading and writing numpy files from C++ a breeze, and I quickly wrapped this up into a new package...

Read more »

This is *huge*: SAScii package

July 10, 2012
By

http://blog.revolutionanalytics.com/2012/07/importing-public-data-with-sas-instructions-into-r.html Q: How do you make a hairless primate? Answer 1: Take a hairy primate, wait a few million years and see if Darwin was right. Answer 2: Make them work i...

Read more »

Importing public data with SAS instructions into R

July 10, 2012
By

Many public agencies release data in a fixed-format ASCII (FWF) format. But with the data all packed together without separators, you need a "data dictionary" defining the column widths (and metadata about the variables) to make sense of them. Unfortunately, many agencies make such information available only as a SAS script, with the column information embedded in a PROC...

Read more »

introduction to R: learning by doing (part 2: plots)

July 10, 2012
By
introduction to R: learning by doing (part 2: plots)

Lets go one with the second part of learning R by doing R (you will find the first part here. As we have used vectors, matrices and loops in the first part, we will concentrate on graphics in this one. but first we will need data to plot: Sometimes you will need several plots in

Read more »

simulation, an ubiquitous tool

July 10, 2012
By
simulation, an ubiquitous tool

(This article was first published on Xi'an's Og » R, and kindly contributed to R-bloggers) After struggling for quite a walk on that AMSI public lecture talk, and dreading its loss with the problematic Macbook, I managed to complete a first draft last night in Adelaide, downloading a final set of images from the Web...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Dommino data lab

Quantide: statistical consulting and training



http://www.eoda.de







ODSC

ODSC

CRC R books series





Six Sigma Online Training





Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)