Posts Tagged ‘ R ’

Getting Started with R and Hadoop

August 20, 2012
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Getting Started with R and Hadoop

Last week's meeting of the Chicago area Hadoop User Group (a joint meeting the Chicago R User Group, and sponsored by Revolution Analytics) focused on crunching Big Data with R and Hadoop. Jeffrey Breen, president of Atmosphere Research Group, frequently deals with large data sets in his airline consulting work, and R is his "go-to tool for anything data-related"....

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plot.xts with Moving Average Panel

August 20, 2012
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plot.xts with Moving Average Panel

(for all plot.xts posts, see http://timelyportfolio.blogspot.com/search/label/plot.xts) As another example of all that we can do with the new plot.xts, let’s try to do a price plot with a moving average overlays.  We will use the ETFs shown by M...

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Heatmap tables with ggplot2

August 20, 2012
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Heatmap tables with ggplot2

I wrote before about heatmap tables as a better way of producing frequency or other tables, with a solution which works nicely in latex. It is possible to do them much more easily in ggplot2, like this library(Hmisc) library(ggplot2) library(reshape) data(HairEyeColor) P=t(HairEyeColor) Pm=melt(P) ggfluctuation(Pm,type="heatmap")+geom_text(aes(label=Pm$value),colour="white")+ opts(axis.text.x=theme_text(size = 15),axis.text.y=theme_text(size = 15)) Note that ggfluctuation will also take … Continue reading...

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Horizon plots with ggplot2, sort-of

August 19, 2012
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Horizon plots with ggplot2, sort-of

The Timely Portfolio blog via R-bloggers has recently published some interesting entries about the value of horizon plots for visual comparison of a number of time series. Very nice it looks too. You can read more about them here. The trick to understanding them is to imagine that each row was orginally a line chart … Continue reading...

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London 2012 Olympics — Medals per hundred players

August 19, 2012
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London 2012 Olympics — Medals per hundred players

It’s the weekend. I just woke up from a nap. Got my mind freshed. I’d like to continue with my digging into the Olympics medal results. Today, I cited the number of participants from each country (see wikipedia). I want to see how … Continue reading →

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Parallelization: Speed up Functions in a Package

August 18, 2012
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Parallelization: Speed up Functions in a Package

Well I bought a new computer a month back (i7 8GB memory). Finally more than one core and a chance to try parallelization. I saw this blog post a while back and was intrigued and was further intriqued when I … Continue reading →

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read raster data in parallel

August 18, 2012
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read raster data in parallel

Use library(parallel) to read raster data in parallel fashion Use library(parallel) to read raster data in parallel fashion Recently, I have been doing some analysis for a project I am involved in. In particular, I was...

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GARCH Panel in plot.xts

August 17, 2012
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GARCH Panel in plot.xts

I’m clearly out of my realm of competence with most of the rugarch functions, but I thought it might be nice to provide an example combining plot.xts and uGARCHroll. R code from GIST:

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Ryan Rosario on Parallel programming in R

August 17, 2012
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Earlier this year data scientist Ryan Rosario gave a talk on parellel computing with R to the Los Angeles R User Group, and he recently made the slides from the talk available online. They're a great resource for anyone looking to make use of multi-processor systems a Hadoop based architechure to speed computations with big data. Ryan's talk was...

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Using R from Inside Statistica

August 17, 2012
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Using R from Inside Statistica

I’ve been spending a lot of time in the last month or so doing projects at work not statistics related, hence the lack of posts!  In the interim, I had to do some serious research on handling datasets bigger than … Continue reading →

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