Monthly Archives: August 2012

2012 Olympics Swimming – 100m Butterfly Men Finals prediction

August 3, 2012
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2012 Olympics Swimming – 100m Butterfly Men Finals prediction

2012 Olympics Swimming - 100m Butterfly Men Finals prediction Author: Matt Malin Inspired by mages’ blog with predictions for 100m running times, I’ve decided to perform some basic modelling (loess and linear modelling) on previous Olympic results for the 100m Butterfly Men’s medal winning results. Code setup library(XML) library(ggplot2) swimming_path <- "http://www.databasesports.com/olympics/sport/sportevent.htm?sp=SWI&enum=200" swimming_data <- readHTMLTable( readLines(swimming_path), which = 3, stringsAsFactors...

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R training: Visualization, Big Data, Data Mining, and Marketing Analytics

August 2, 2012
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Revolution Analytics is hosting several live and online courses over the next couple of months that will be of interest to R users looking to hone their skills: Visualization in R with ggplot2. Garrett Grolemund and Winston Chang instruct how to use the ggplot2 package to make, format, label and adjust graphs using R. (August 28, Redwood City, CA.)...

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plotting raster data in R: adjusting the labels and colors of a classified raster

August 2, 2012
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plotting raster data in R: adjusting the labels and colors of a classified raster

Thank’s to Andrej who wrote this comment: “Is it possible to to color the resulting 12 clusters within your original image to get a feel for visual separation?” You can do so: But how to get values at a location? You will need these values to determine whether the defined class is representing a water

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Who wants to maintain pgfSweave?

August 2, 2012
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So the time has come for me to face the fact that I have no time to maintain pgfSweave. It was recently archived because I didn’t make necessary changes to comply with some CRAN policies. SO, I need someone to step up to the plate to make some tweakes, put it back up on CRAN

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Spacing of multi-panel figures in R

August 2, 2012
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Spacing of multi-panel figures in R

In a previous post, I showed how to keep text and symbols at the same size across figures that have different numbers of panels. The figures in that post were ugly because they used the default panel spacing associated with the mfrow argument of the par( ) function. Below I will walk through how to

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How do you say “We Will Do Whatever It Takes” in Thai?

August 2, 2012
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How do you say “We Will Do Whatever It Takes” in Thai?

As the market has already started to poke holes in Draghi’s promise, I thought it would be good to continue the series of posts that I began with the British version “We Will Do Whatever it Takes” with my favorite article written during the Asia ...

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Data Parallelism Using Oracle R Enterprise

August 2, 2012
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Modern computer processors are adequately optimized for many statistical calculations, but large data operations may require hours or days to return a result.  Oracle R Enterprise (ORE), a set of R packages designed to process large data computations in Oracle Database, can run many R operations in parallel, significantly reducing processing time. ORE supports parallelism through the transparency layer,...

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Multivariate Data Analysis Work Flow

August 2, 2012
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Multivariate Data Analysis Work Flow

Here is an example of a data analysis work flow supported in imDEV. This network visualization was made using CmapTools.

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Units and metadata

August 2, 2012
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Handling meta-data is not natural in R, or any traditional rectangular shaped type data storage system.There are several tricks and packages which attempt to solve this problem, with Hmisc using the atrribute feature and the IRange package having its o...

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CFP: AusDM 2012, deadline extended to 31 August 2012

August 2, 2012
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CFP: AusDM 2012, deadline extended to 31 August 2012

The Tenth Australasian Data Mining Conference (AusDM 2012) Sydney, Australia 5-7 December 2012 http://ausdm12.togaware.com/ Deadline extended to 31 August 2012 The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data … Continue reading →

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