1639 search results for "Time series"

The Anachronism Machine: The Language of Downton Abbey

March 15, 2012
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The Anachronism Machine: The Language of Downton Abbey

I've recently become hooked on the TV series Downton Abbey. I'm not usually one for costume dramas, but the mix of fine acting, the intriguing social relationships, and the larger WW1-era story make for compelling viewing. (Also: Maggie Smith is a treasure.) Despite the widespread criticial acclaim, Downton has met with criticism for some period-innapropriate uses of language. For...

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Opinions Not Backed by Money Updated Again

March 15, 2012
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Opinions Not Backed by Money Updated Again

Strange that I am updating this post for a third time and nothing really has changed, but the fact that nothing has changed is incredibly interesting to me.  Since it is an update, I will not duplicate the explanation, so please read the last vers...

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R and Hadoop: Step-by-step tutorials

March 14, 2012
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R and Hadoop: Step-by-step tutorials

At the recent Big Data Workshop held by the Boston Predictive Analytics group, airline analyst and R user Jeffrey Breen gave a step-by-step guide to setting up an R and Hadoop infrastructure. Firstly, as a local virtual instance of Hadoop with R, using VMWare and Cloudera's Hadoop Demo VM. (This is a great way to get familiar with Hadoop.)...

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NIT: Fatty acids study in R – Part 007

March 14, 2012
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NIT: Fatty acids study in R – Part 007

Once we have chosen the model, we can continue acquiring spectra of new samples. Spectra is exported to a txt or csv file and we imported in R to be reprocessed.We use the function “predict” from the PLS package. I have done this with 20 new sample...

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R code for Chapter 2 of Non-Life Insurance Pricing with GLM

March 13, 2012
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R code for Chapter 2 of Non-Life Insurance Pricing with GLM

We continue working our way through the examples, case studies, and exercises of what is affectionately known here as “the two bears book” (Swedish björn = bear) and more formally as Non-Life Insurance Pricing with Generalized Linear Models by Esbjörn Ohlsson and Börn Johansson (Amazon UK | US

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R code for Chapter 2 of Non-Life Insurance Pricing with GLM

March 13, 2012
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R code for Chapter 2 of Non-Life Insurance Pricing with GLM

We continue working our way through the examples, case studies, and exercises of what is affectionately known here as “the two bears book” (Swedish björn = bear) and more formally as Non-Life Insurance Pricing with Generalized Linear Models by Esbjörn Ohlsson and Börn Johansson (Amazon UK | US). At...

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Generating a lag/lead variables

March 11, 2012
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Generating a lag/lead variables

A few days ago, my friend asked me is there any function in R to generate lag/lead variables in a data.frame or did similar thing as _n in stata. He would like to use that to clean-up his dataset in R. In stata help manual: _n contains the number of the current observation. Here’s an

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di Roma

March 4, 2012
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di Roma

It has been a wonderful week in Roma, a mix of pleasant work and enjoyable free-time! I gave the ABC advanced course for the second time in a month so it did not require much in terms of preparation and there was a good sized audience with attentive (if too silent!) students and friends as

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ggplot2 0.9.0 released

March 4, 2012
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This announcement was made by Hadley Wickham in the mailing list. ———————- # ggplot2 ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends)...

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Download and Parse NAREIT Data

March 1, 2012
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Download and Parse NAREIT Data

This is the first post of a series that describes how to download and parse specific data sets into R. These kinds of scripts can be functionalized further, but I doubt that these will ever find their way into a formal package. They are intended to be helpful to those facing similar tasks, but as

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