1274 search results for "excel"

Call for participation: AusDM 2014, Brisbane, 27-28 November

October 25, 2014
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Call for participation: AusDM 2014, Brisbane, 27-28 November

********************************************************* 12th Australasian Data Mining Conference (AusDM 2014) Brisbane, Australia 27-28 November 2014 http://ausdm14.ausdm.org/ ********************************************************* The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. Since AusDM’02 the conference … Continue reading →

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‘Open sourcing’ microsimulation with R

October 23, 2014
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‘Open sourcing’ microsimulation with R

These are the slides from a presentation today at the European conference of the IMA, held in Maastricht, 23rd to 24th October, 2014. Microsimulation, as its name suggests, is about modelling things at the individual-level. In practice, this usually means estimating the characteristics of people using statistical or econometric techniques. Microsimulation, as represented by the International Microsimulation Association...

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A first look at Distributed R

October 23, 2014
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A first look at Distributed R

by Joseph Rickert One of the most interesting R related presentations at last week’s Strata Hadoop World Conference in New York City was the session on Distributed R by Sunil Venkayala and Indrajit Roy, both of HP Labs. In short, Distributed R is an open source project with the end goal of running R code in parallel on data...

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Leveraging R for Econ Job Market

October 23, 2014
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Leveraging R for Econ Job Market

I wanted to describe a little helper I am using to help refine the places I want to apply at since I am going to be on the Economics Job Market this year. The two main websites were job openings are advertised are: EconJobMarket Job Openings for Economists Now JOE has a really nice feature

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Twitter Pop-up Analytics

October 20, 2014
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Twitter Pop-up Analytics

IntroductionSo I've been thinking a lot lately. Well, that's always true. I should say, I've been thinking a lot lately about the blog. When I started this blog I was very much into the whole quantified self thing, because it was new to me, I liked the...

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Explore R package connections at MRAN

October 20, 2014
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Explore R package connections at MRAN

Many R scripts depend on CRAN packages, and most CRAN packages in turn depend on other CRAN packages. If you install an R package, you'll also be installing its dependencies to make it work, and possibly other packages as well to enable its full functionality. My colleague Andrie posted some R code to map package dependencies a couple of...

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Find the last day of the month

October 17, 2014
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Find the last day of the month

I have different sets of monthly data that I want to align and evaluate once a month. The different sources report the timestamp of the monthly data differently – one reports the date without the day, another as the last business day, and another as the last day of the month. For what I want

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Announcing Corporate Training in R Analytics, Nov. 6-7

October 17, 2014
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Announcing Corporate Training in R Analytics, Nov. 6-7

We’re excited to announce the start of our Intro to Data Science with R two-­day corporate training session, held Nov. 6-7 in New York City! Please visit nycdatascience.com for details on the location, time, and course syllabus. The application of R in industries from banking to telecommunications is by now well-­known, with Bank of America

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Statistics doesn’t have to be so hard: simulate!

October 17, 2014
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My second-favourite keynote from yesterday's Strata Hadoop World conference was this one, from Pinterest's John Rauser. To many people (especially in the Big Data world), Statistics is a series of complex equations, but a just a little intuition goes a long way to really understanding data. John illustrates this wonderfully using an example of data collected to determine whether...

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Beware Graphical Networks from Rating Scales without Concrete Referents

October 15, 2014
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Beware Graphical Networks from Rating Scales without Concrete Referents

We think of latent variables as hidden causes for the correlations among observed measures and rely on factor analysis to reveal the underlying structure. In a previous post, I borrowed an alternative metaphor from the R package qgraph and produce...

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