July 2014

Compile R and OpenBLAS from Source Guide

July 16, 2014 | Lindons Log » R

This guide is intended to aid any R and Linux user who desires a threaded version of BLAS. In particular I hope this will allow other grad students, who like me do not have many user privileges on their office computer, to follow suit and exploit multiple cores to speed ... [Read more...]

Pick a Color Site built in R with Shiny tags %$%

July 16, 2014 | klr

I started down the color path with yesterday’s post Palette of Colors from Image %__% ggplot2 %__% rCharts + dimple.js.  Although R has lots of tools, such as RColorBrewer and the mentioned rPlotter, javascript does too with Gregor Aisch's chroma.js and this translated-from-Perl color-scheme-js. I figured I should explore these ... [Read more...]

Budapest Use R!

July 16, 2014 | Peter Solymos

I presented a guest lecture ‘Data cloning: bridging the Bayesian and frequentist statistical paradigms’, at the Budapest R User Group meetup, Budapest, Hungary. [Read more...]

Variations on rolling forecasts

July 15, 2014 | Rob J Hyndman

Rolling forecasts are commonly used to compare time series models. Here are a few of the ways they can be computed using R. I will use ARIMA models as a vehicle of illustration, but the code can easily be adapted to other univariate time series models. One-step forecasts without re-estimation ... [Read more...]

another R new trick [new for me!]

July 15, 2014 | xi'an

While working with Andrew and a student from Dauphine on importance sampling, we wanted to assess the distribution of the resulting sample via the Kolmogorov-Smirnov measure where F is the target.  This distance (times √n) has an asymptotic distribution that does not depend on n, called the Kolmogorov distribution. After ... [Read more...]

Determine your Fitbit stride length using a GPS watch

July 15, 2014 | Chris

I have been carrying my Fitbit One for a little over two years with me and it keeps tracking my daily steps. It also tracks my distance covered by multiplying those steps using the stride length which you can either provide explicitly or implicitly setting your heights. In the winter ...
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Preparing Big Data for Analysis in R

July 15, 2014 | Joseph Rickert

by Yaniv Mor, Co-founder & CEO of Xplenty How do you get Big Data ready for R? Gigabytes or terabytes of raw data may need to be combined, cleaned, and aggregated before they can be analyzed. Processing such large amounts of data used to require installing Hadoop on a cluster of ... [Read more...]

Presentations and video of the 5th meeting

July 15, 2014 | MilanoR

Great success for the 5th MilanoR meeting. At links below, you find speech presentations. Please leave a comment! Welcome Presentation by Nicola Sturaro, consultant at Quantide Singular Spectrum Analysis With Rssa by Maurizio Sanarico, Chief Data Scientist at SDG consulting … Continue reading → [Read more...]

Average dissertation and thesis length, take two

July 15, 2014 | beckmw

About a year ago I wrote a post describing average length of dissertations at the University of Minnesota. I've been meaning to expand that post by adding data from masters theses since the methods for gathering/parsing the records are transferable. This post provides some graphics and links to R ...
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Consistent naming conventions in R

July 15, 2014 | Robin Lovelace - R

Naming conventions in R are famously anarchic, with no clear winner and multiple conventions in use simultaneously in the same package. This has been written about before, in a lucid article in the R Journal, a detailed exploration of names in R source code hosted on CRAN and general discussion ...
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Parallel Distance Matrix Calculation with RcppParallel

July 14, 2014 | Rcpp Gallery

The RcppParallel package includes high level functions for doing parallel programming with Rcpp. For example, the parallelFor function can be used to convert the work of a standard serial “for” loop into a parallel one. This article describes using RcppParallel to compute pairwise distances for each row in an input ...
[Read more...]

Computing an Inner Product with RcppParallel

July 14, 2014 | Rcpp Gallery

The RcppParallel package includes high level functions for doing parallel programming with Rcpp. For example, the parallelReduce function can be used aggreggate values from a set of inputs in parallel. This article describes using RcppParallel to parallelize the inner-product example previously posted to the Rcpp Gallery. Serial Version First the ...
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