1206 search results for "tutorial"

Mapping the World’s Biggest Airlines

June 7, 2012
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Mapping the World’s Biggest Airlines

The map above shows the routes flown by the top 7 airli

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Longevity and mortality dynamics with R

June 4, 2012
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Longevity and mortality dynamics with R

Following the previous post on life contingencies and actuarial models in life insurance, I upload additional material for the short course at the 6th R/Rmetrics Meielisalp Workshop & Summer School on Computational Finance and Financial Engineering organized by ETH Zürich, https://www.rmetrics.org/. The second part of the talk (on Actuarial models with R) will be dedicated to longevity and mortality. A complete...

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Longevity and mortality dynamics with R

June 4, 2012
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Longevity and mortality dynamics with R

Following the previous post on life contingencies and actuarial models in life insurance, I upload additional material for the short course at the 6th R/Rmetrics Meielisalp Workshop & Summer School on Computational Finance and Financial En...

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Make R analysis Modules just like MS Excel Templates: Derivative Calculator study case

June 4, 2012
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In this video tutorial, it will show you how to make R analysis Modules just like MS Excel Templates using the Building Derivative Calculator app as study case. Let’s say we wanted to know the derivative of tan(x^2 + 3), commonly, we will use th...

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Making interactive slides with Org mode and googleVis in R

June 3, 2012
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Making interactive slides with Org mode and googleVis in R

There’s been a lot of justifiable excitement in the R community about Yihui Xie’s great work, and most recently the incorporation of his knitr package into the RStudio software. Knitr is seen, justifiably, as a worthy successor to SWeave for … Continue reading →

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Double Release: Rook 1.0-5 and rApache 1.1.21

June 1, 2012
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Double Release: Rook 1.0-5 and rApache 1.1.21

I wanted to get these releases out the door before the useR conference, especially since I’m giving a tutorial on Rook! There were two bugs found in Rook, not by me, but by users! This is a fantastic step in the right direction as it’s an ...

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Selection in R

June 1, 2012
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The design of the statistical programming language R sits in a slightly uncomfortable place between the functional programming and object oriented paradigms. The upside is you get a lot of the expressive power of both programming paradigms. A downside of this is: the not always useful variability of the language’s list and object extraction operators. Related posts:

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Conditional Drawdown Exploration

May 31, 2012
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Conditional Drawdown Exploration

After reading Strub, Issam S., Trade Sizing Techniques for Drawdown and Tail Risk Control (May 21, 2012), I thought I should try to tie this with 2 other good R pieces on Conditional Drawdown: http://systematicinvestor.wordpress.com/2011/11/01/minimiz...

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ABC+EL=no D(ata)

May 27, 2012
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ABC+EL=no D(ata)

It took us a loooong while but we finally ended up completing a paper on ABC using empirical likelihood (EL) that was started by me listening to Brunero Liseo’s tutorial in O’Bayes-2011 in Shanghai… Brunero mentioned empirical likelihood as a semi-parametric technique w/o much Bayesian connections and this got me thinking

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Facebook-class social network analysis with R and Hadoop

May 25, 2012
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Facebook-class social network analysis with R and Hadoop

In computing, social networks are traditionally represented as graphs: a connection of nodes (people), pairs of which may be connected by edges (friend relationships). Visually, the social networks can then be represented like this: Social network analysis often amounts to calculating the statistics on a graph like this: the number of edges (friends) connected to a particular node (person),...

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