April 2012

Sampling and the Analysis of Big Data

April 8, 2012 | inkhorn82

After my last post, I came across a few articles supporting the opinion that if you have a good reason to take random samples from a “big” dataset, you’re not committing some kind of sin: Big Data Blasphemy: Why Sample? … Continue reading → [Read more...]

The lm() function with categorical predictors

April 8, 2012 | Ben Ogorek

What's with those estimates?By Ben OgorekIn R, categorical variables can be added to a regression using the lm() function without a hint of extra work. But have you ever look at the resulting estimates and wondered exactly what they were?First, let's define a data set.set.seed(12255)n = 30... [Read more...]

Small pedigree based mixed model example

April 8, 2012 | Gregor Gorjanc

Pedigree based mixed models (often called animal models, due to modelling animal performance) are the cornerstone of animal breeding and quantitative genetics. There are many programs that can be used for analyzing your data with these models, e.g., ASREML, BLUPf90, MATVEC, MiXBLUP & MiX99,  SurvivalKit, PEST/VCE, WOMBAT, ...). There are ... [Read more...]

Sorting the "Sample Sets" by constituents

April 8, 2012 | jrcuesta

I use to see the videos from:http://www.twotorials.com/and the video:How to order and sort stuff in Ris really useful to apply this concept to organize and understand better our sample sets before to proceed to develop a calibration.The idea of this po...
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Predicting apple liking from instrumental data

April 8, 2012 | Wingfeet

In this post I will examine if the individual models from previous posts together would make a good predictive model. Obviously, predictive capability is different from descriptive capability, predictions usually have a more simple model. As there was ...
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Course: Analysing Palaeolimnological Data with R

April 8, 2012 | ucfagls

Update: As of 18 April 2012 the course is now fully subscribed. Should you wish to be placed on a waiting list please contact Steve Juggins. Analysing Palaeolimnological Data with R 16th — 20th August 2012, University Marine Biological Station … Continue reading → [Read more...]

Using bigmemory for a distance matrix

April 7, 2012 | Steven Mosher

The process of working on metadata and temperature series gives rise to several situations where I need to calculate the distance from every station to every other station. With a small number of stations this can be done easily on the fly with the result stored in a matrix. The ... [Read more...]

Writing reproducibly in the open with knitr

April 7, 2012 | Carl

Sweave is something of a gold standard in reproducible research. It creates a dynamic document, written in a mix of LaTeX and R code where the results of the analysis (numbers, figures, tables) are automatically generated from the code and inserted into the resulting pdf document, making them easy to ... [Read more...]

An R programmer looks at Julia

April 7, 2012 | Douglas Bates

In January of this year I first saw mention of the Julia language in the release notes for LLVM. I mentioned this to Dirk Eddelbuettel and later we got in contact with Viral Shahregarding a Debian package for Julia. There are many aspects of Julia tha... [Read more...]

Temperature Change in Ireland

April 7, 2012 | diffuseprior

Has Ireland gotten any warmer? Ask any punter on the street and they will happily inform you of wild swings, trends and dips. “Back when I was a child”, “when I was younger”, or “years ago” are the usual refrains. What’s the evidence? To answer this, I will use ... [Read more...]

The race for speed at the data layer

April 6, 2012 | David Smith

The competition amongst database vendors to create the fastest, most powerful "data layer" — the hardware and software to provide storage for Big Data with high-performance data processing — is clearly heating up. The Netezza appliance has been so successful that IBM has been racing to keep up with demand. SAP is ... [Read more...]

RNA-Seq Methods & March Twitter Roundup

April 6, 2012 | Stephen Turner

There were lots of interesting developments this month that didn't work their way into a full blog post. Here is an incomplete list of what I've been tweeting about over the last few weeks. But first I want to draw your attention to the latest manuscri... [Read more...]

R-Bloggers’ Web-Presence

April 6, 2012 | Kay Cichini

We love them, we hate them: RANKINGS!Rankings are an inevitable tool to keep the human rat race going. In this regard I'll pick up my last two posts (HERE & HERE) and have some fun with it by using it to analyse R-Bloggers' web presence. I will use... [Read more...]

Dynamite plots in R

April 6, 2012 | Samuel Brown

For some time I've contemplated creating a function for creating the dynamite plots beloved by many of the applied sciences. There's a lot of criticism regarding their utility, and there are several ways that present data in a more intelligible way. A search on the subject brings up pages with ... [Read more...]

The 50 most used R packages

April 5, 2012 | flodel

Ask anyone what makes R a great language, one argument that often comes back is its very active community. Proof is the impressive number of packages contributed by developers from all horizons and backgrounds. The CRAN website alone lists 3,725 p...
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Compete in the Data Science Hackathon, April 28

April 5, 2012 | David Smith

All around the world at noon GMT on April 28, data scientists around the world will compete in the world's first one-day International Data Science Hackathon, organized by Data Science London. Participants will receive a data set at the beginning of the event, and work in teams of 3-5 over the ... [Read more...]

An intro to R

April 5, 2012 | Karthik Ram

A few weeks back I gave a talk at the local Berkeley R meetup group. The idea was to help people not make the same mistakes I made when I first started out learning R. It was the first time I made an entire presentation with Deck.js and I ... [Read more...]
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