954 search results for "parallel"

A possibility for use R and Hadoop together

July 8, 2013
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(This article was first published on Milano R net, and kindly contributed to R-bloggers) As mentioned in the previous article, a possibility for dealing with some Big Data problems is to integrate R within the Hadoop ecosystem. Therefore, it’s necessary to have a bridge between the two environments. It means that R should be capable of handling data the...

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Plotting principal component analysis with ggplot #rstats

July 8, 2013
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Plotting principal component analysis with ggplot #rstats

This script was almost written on parallel to the sjPlotCorr script because it uses a very similar ggplot-base. However, there’s also a very nice posting over at Martin’s Bio Blog which show alternative approaches on plotting PCAs. Anyway, if you … Weiterlesen →

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In case you missed it: June 2013 Roundup

July 3, 2013
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In case you missed them, here are some articles from June of particular interest to R users: You can create a Word document from a template and an R script with the R2DOCX package. Joe Rickert reviews books and other resources for learning about time series analysis in R. Timely Portfolio covers 15 years of history of time series...

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How pqR makes programs faster by not doing things

June 30, 2013
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How pqR makes programs faster by not doing things

One way my faster version of R, called pqR (see updated release of 2013-06-28), can speed up R programs is by not even doing some operations. This happens in statements like for (i in 1:1000000) ..., in subscripting expressions like v, and in logical expressions like any(v>0) or all(is.na(X)). This is done using pqR’s internal “variant result” mechanism, which is

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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #6)

June 26, 2013
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #6)

More news about MCMSki IV: First, the 9 invited and the 16 contributed sessions are about to be set into the program by the scientific committee. It should appear any time now: stay tuned. Second, after looking a wee bit around for handling the abstract, I decided to create a dedicated blog, MCMSki IV: poster

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Comparing the speed of pqR with R-2.15.0 and R-3.0.1

June 24, 2013
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Comparing the speed of pqR with R-2.15.0 and R-3.0.1

As part of developing pqR, I wrote a suite of speed tests for R. Some of these tests were used to show how pqR speeds up simple real programs in my post announcing pqR, and to show the speed-up obtained with helper threads in pqR on systems with multiple processor cores. However, most tests in

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Rcpp 0.10.4

June 24, 2013
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A new version of Rcpp is now on the CRAN network for GNU R; binaries for Debian have been uploaded as well. This release brings a fairly large number of fixes and improvements across a number of Rcpp features, see below for the detailed list. We a...

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My Stat Bytes talk, with slides and code

June 24, 2013
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On Thursday of last week I gave a short informal talk to Stat Bytes, the CMU Statistics department‘s twice a month computing seminar. Quick tricks for faster R code: Profiling to Parallelism Abstract: I will present a grab bag of … Continue reading →

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GRNN and PNN

June 23, 2013
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GRNN and PNN

From the technical prospective, people usually would choose GRNN (general regression neural network) to do the function approximation for the continuous response variable and use PNN (probabilistic neural network) for pattern recognition / classification problems with categorical outcomes. However, from the practical standpoint, it is often not necessary to draw a fine line between GRNN

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Prototyping A General Regression Neural Network with SAS

June 22, 2013
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Prototyping A General Regression Neural Network with SAS

Last time when I read the paper “A General Regression Neural Network” by Donald Specht, it was exactly 10 years ago when I was in the graduate school. After reading again this week, I decided to code it out with SAS macros and make this excellent idea available for the SAS community. The prototype of

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