1703 search results for "time series"

Mapping the GDELT data (and some Russian protests, too)

April 15, 2013
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Mapping the GDELT data (and some Russian protests, too)

(This article was first published on Quantifying Memory, and kindly contributed to R-bloggers) In this post I show how to select relevant bits of the GDELT data in R and present some introductory ideas about how to visualise it as a network map. I've included all the code used to generate the illustrations. Because of this, if you here...

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Using R — Working with Geospatial Data

April 14, 2013
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Using R — Working with Geospatial Data

This entry is part 6 of 12 in the series Using RGIS, an acronym that brings joy to some and strikes fear in the heart of those not interested in buying expensive software. Luckily fight or flight can be saved for another day because you …   read more ...

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Spring Cleaning Data: 5 of 6- 2 ifelse vs Merge

April 12, 2013
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The blog in the data cleaning series looks at separating out the Federal Reserve Districts. What I wanted was two additional columns, where I had the name of the city and the number for each district. Since I was on a separation kick I thought it would...

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R and social media

April 10, 2013
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R is a piece of software, but it is also a community. Help community The most visible aspect of the R community is help.  This is also the most useful to new users.  The initial sense of cooperation with R was driven mainly by people helping each other. You don’t need to actively participate in The post R...

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Spring Cleaning Data: 1of 6- Downloading the Data & Opening Excel Files

April 8, 2013
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With spring in the air, I thought it would be fun to do a series on (spring) cleaning data. The posts will follow my efforts to to download the data, import into R, cleaned it up, merge the different files, add columns of information created, and then ...

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Estimated Follower Accession Charts for Twitter

April 5, 2013
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Estimated Follower Accession Charts for Twitter

Just over a year or so ago, Mat Morrison/@mediaczar introduced me to a visualisation he’d been working on (How should Page Admins deal with Flame Wars?) that I started to refer to as an accession chart (Visualising Activity Around a Twitter Hashtag or Search Term Using R). The idea is that we provide each entrant

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Demographic analysis using the `popbio` library and some other fun stuff

April 4, 2013
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Demographic analysis using the `popbio` library and some other fun stuff

This week at the Davis R Users’ Group we had a great presentation by Kara Moore O’Leary on using the popbio package to examine rare plant demographics. The following is her script run through knitr. You can download the original script and associated data here. Find out more about Kara and her work at...

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Measuring the Intensity of Historical Crises with VaR (Part 2)

April 4, 2013
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Measuring the Intensity of Historical Crises with VaR (Part 2)

Adam Duncan, December 2012Also avilable on R-bloggers.com If you missed the first part of this analysis, be sure to check it out on gtog.github.com.In this part of the analyis, I’m going to look at the actual 1 day negative returns / VaR estimates (“VaR breaks”) across a numnber of different asset classes. The hope is to arrive at...

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R version 3 released

April 3, 2013
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The R language marks a major milestone today with the release of R 3.0.0 (codename: "Masked Marvel"). The increment in the version number reflects not a fundamental change in the R langauge itself, but a recognition that the R codebase has matured to a point where closing out the 2.x series makes sense. Nonetheless, this release does include some...

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CFP: the 11th Australasian Data Mining Conference (AusDM 2013), submission due 15 July

April 3, 2013
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CFP: the 11th Australasian Data Mining Conference (AusDM 2013), submission due 15 July

********************************************************************* The 11th Australasian Data Mining Conference (AusDM 2013) Canberra, Australia, 13-15 November 2013, http://ausdm13.togaware.com Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891 ********************************************************************* Data mining, the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) … Continue reading →

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