# 841 search results for "parallel"

## R in the Cloud

December 6, 2012
By

I've been having some great fun parallelizing R code on Amazon's cloud. Now that things are chugging away nicely, it's time to document my foibles so I can remember not to fall into the same pits of despair again. The goal was to perform lots of trails of a randomized statistical simulation. The jobs were independent and fairly chunky, taking...

## ggplot2 0.9.3 and plyr 1.8 have been released!

December 6, 2012
By

We’re pleased to announce new versions of ggplot2 (0.9.3) and plyr (1.8).  To get up and running with the new versions, start a clean R session without ggplot2 or plyr loaded, and run install.packages(c("ggplot2", "gtable", "scales", "plyr")). Read on to find out what’s new. ggplot2 0.9.3 Most of the changes version 0.9.3 are bug fixes. Perhaps

December 5, 2012
By

Far as I remember, today was the first day in my life I succeed to load a text file bigger than 1.5 Gb into R (~ 5 million lines and 18 columns). My computer is not a small stuff, I’m using a Macbook Pro with rough 8GB of RAM, but the issue why I couldn’t

## Big Data Trees with Hadoop HDFS

December 4, 2012
By

Last month's release of Revolution R Enterprise 6.1 added the capability to fit decision and regresson trees on large data sets (using a new parallel external memory algorithm included in the RevoScaleR package). It also introduced the possibility of applying this and the other big-data statistical methods of RevoScaleR to data files distributed in in Hadoop's HDFS file system*,...

## pbdR Updates – Distributed lm.fit() and More

December 3, 2012
By

Over the weekend, we updated all of the pbdR packages currently available on the CRAN.  The updates include tons of internal housecleaning as well as many new features. Notably, pbdBASE_0.1-1 and pbdDMAT_0.1-1 were released, which contain lm.fit() methods.  This function in particular has been available at my github for over a month, but didn't make its way to the...

## forecast package v4.0

December 2, 2012
By

A few days ago I released version 4.0 of the forecast package for R. There were quite a few changes and new features, so I thought it deserved a new version number. I keep a list of changes in the Changelog for the package, but I doubt that many people look at it. So for the record, here are...

## Trading with Support Vector Machines (SVM)

November 30, 2012
By

Finally all the stars have aligned and I can confidently devote some time for back-testing of new trading systems, and Support Vector Machines (SVM) are the new “toy” which is going to keep me busy for a while. SVMs are a well-known tool from the area of supervised Machine Learning, and they are used both

## edply: combining plyr and expand.grid

November 30, 2012
By

Here’s a code snippet I thought I’d share. Very often I find myself checking the output of a function f(a,b) for a lot of different values of a and b, which I then need to plot somehow. An example: here’s a function that computes the value of a sinusoidal function on a grid of points,

## 2012-11 Generating Animation Sequence Descriptions

November 29, 2012
By

This report describes the animaker package for generating descriptions of animation sequences. An animation sequence is composed by combining atomic animations in series to create sequence animations or in parallel to create track animations. Functions are provided for manipulating animation … Continue reading →

## Functional programming with lambda.r

November 20, 2012
By
$Functional programming with lambda.r$

After a four month simmer on various back burners and package conflicts, I’m pleased to announce that the successor to …Continue reading »