Monthly Archives: July 2013

Longer-history back-tests

July 11, 2013
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Longer-history back-tests

One of the important steps of evaluating new trading idea or strategy is to see how it behaved historically (i.e. create back-test and examine the equity curve in different economic and market conditions) However, creating a long back-test is usually problematic because most ETFs do not have a long price history. One way to alleviate

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Generate UUIDs in R

July 11, 2013
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Here a snippet of R to generate a Version 4 UUID. Dunno why there wouldn't be an official function for that in the standard libraries, but if there is, I couldn't find it. ## Version 4 UUIDs have the form: ## xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx ## where x is any hexadecimal digit and ## y is one...

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Lambda.r 1.1.2 released to CRAN

July 11, 2013
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Lambda.r 1.1.2 released to CRAN

This was mostly a bug scrub to improve the stability and robustness of the package. As always, the package is …Continue reading »

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Detecting regime change in irregular time series

July 11, 2013
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Detecting regime change in irregular time series

In my current research, I am modeling consumer spending behavior to predict future income and spending. To do this I …Continue reading »

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Let’s Make a Date: Date and Time classes in R

July 11, 2013
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rxDTree(): a new type of tree algorithm for big data

July 11, 2013
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by Joseph Rickert The rxDTree() function included in the RevoScaleR package distributed with Revolution R Enterprise is an an example of a new class of algorithms that are being developed to deal with very large data sets. Although the particulars differ, what these algorithms have in common is the use of approximations, methods of summarizing or compressing data and...

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Building DataMind: FREE Online Interactive Learning Plaftorm for R

July 11, 2013
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Building DataMind: FREE Online Interactive Learning Plaftorm for R

DataMind is the first free interactive online learning platform for R. Through an in-browser coding environment we offer exercise-based learning-by-doing. Our goal is to build a fun learning experience for data analysis and R, while allowing anyone to create courses! You can check out an early stage beta version at www.DataMind.org ! With DataMind, we focus on three

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A Julia Meta Tutorial

July 11, 2013
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A Julia Meta Tutorial

If you are thinking about taking Julia, the hot new mathematical, statistical, and data-oriented programming language, for a test drive, you might need a little bit of help. In this blog we round up some great posts discussing various aspects … Continue reading → The post A Julia Meta Tutorial appeared first on Data Community DC.

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TriMatch – useR! 2013 Slides and Version 0.9 Released to CRAN

July 11, 2013
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TriMatch – useR! 2013 Slides and Version 0.9 Released to CRAN

Our presentation on the TriMatch package at the useR! 2013 Conference went fantastically. Thanks for those who attended and the wonderful discussion that followed. The slides can be downloaded from Github as well as the abstract. To coincide with our presentation version 0.9 has been released to CRAN. The package includes a vignette and two demos. install.packages('TriMatch',repos='http://cran.r-project.org') require(TriMatch) vignette('TriMatch') demo(tutoring) demo(nmes)

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A Julia Meta Tutorial

July 11, 2013
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A Julia Meta Tutorial

If you are thinking about taking Julia, the hot new mathematical, statistical, and data-oriented programming language, for a test drive, you might need a little bit of help. In this blog we round up some great posts discussing various aspects of Julia to get you up and running faster. Why We Created Julia If only you...

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