3363 search results for "Map"

Parallel R with BatchJobs

March 28, 2015
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Parallel R with BatchJobs

Parallelizing R with BatchJobs – An example using k-means Gord Sissons, Feng Li Many simulations in R are long running. Analysis of statistical algorithms can generate workloads that run for hours if not days tying up a single computer. Given the amount of time R programmers can spend waiting for results, getting acquainted parallelism makes

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SOMbrero v1.0 is released

March 28, 2015
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SOMbrero v1.0 is released

New !!! SOMbrero is now on CRAN: http://cran.r-project.org/web/packages/SOMbrero You can visit its Web User Interface: http://shiny.nathalievilla.org/sombrero (SOMbrero WUI, v1.0 related to SOMbrero v1.0). The web user interface can also be used directly from the package with the function sombreroGUI(). SOMbrero is an R package dedicated to online (also called "on-line") Self-Organizing Maps. The version 0.4-1 of the

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rClr 0.7-4 released

March 26, 2015
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rClr 0.7-4 released

Version 0.7-4 of rClr (source code mirrored on GitHub), a package to access arbitrary .NET code seamlessly and in-process, has been released.This is a maintenance release with an important fix to memory management. In some circumstances, passing data ...

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Planning an R usergroup meeting in R

March 25, 2015
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Planning an R usergroup meeting in R

The Edinburgh R usergroup (EdinbR) put together a survey a while back to figure out some of the logistical details for organising a succesful meeting. We had 75 responses (and a few more after I grabbed the results) so here’s … Continue reading →

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Planning an R usergroup meeting in R

March 25, 2015
By
Planning an R usergroup meeting in R

The Edinburgh R usergroup (EdinbR) put together a survey a while back to figure out some of the logistical details for organising a succesful meeting. We had 75 responses (and a few more after I grabbed the results) so here’s … Continue reading →

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Machine Learning in R for beginners

March 25, 2015
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Machine Learning in R for beginners

Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. The post

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R Package ‘smbinning’: Optimal Binning for Scoring Modeling

March 24, 2015
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R Package ‘smbinning’: Optimal Binning for Scoring Modeling

by Herman Jopia What is Binning? Binning is the term used in scoring modeling for what is also known in Machine Learning as Discretization, the process of transforming a continuous characteristic into a finite number of intervals (the bins), which allows for a better understanding of its distribution and its relationship with a binary variable. The bins generated by...

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Mirror, mirror … the best batsman of them all?

March 24, 2015
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Mirror, mirror … the best batsman of them all?

“Full many a gem of purest serene The dark oceans of cave bear.” Thomas Gray – Elegy in country churchyard In this post I do a fine grained analysis of the batting performances of cricketing icons from India and also from the international scene to determine how they stack up against each other.  I perform

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Mirror, mirror … the best batsman of them all?

March 24, 2015
By
Mirror, mirror … the best batsman of them all?

“Full many a gem of purest serene The dark oceans of cave bear.” Thomas Gray – Elegy in country churchyard In this post I do a fine grained analysis of the batting performances of cricketing icons from India and also from the international scene to determine how they stack up against each other.  I perform

Read more »

BayesFactor updated to version 0.9.11-1

March 23, 2015
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The BayesFactor package has been updated to version 0.9.11-1. The changes are:  CHANGES IN BayesFactor VERSION 0.9.11-1CHANGES  * Fixed memory bug causing importance sampling to fail.  CHANGES IN BayesFactor VERSION 0.9.11CHANGES  *...

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