In our pre-conference workshop, Brian Peterson and I worked with the EDHEC hedge fund indexes as a way to demonstrate how to use PortfolioAnalytics within the context of long-term allocation problems. Although they are not investible, these indexes are probably more representative than most given that they are, in fact, ... [Read more...]

I began using Octave for homework assignments from the online Machine Learning class. Having worked with languages like Python, Groovy and JavaScript I never expected a system designed for numerical computations to include such a complete and unique programming language. But it does and I can't resist sharing some examples.... [Read more...]

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 ... [Read more...]

Recently needed to extract a small "chunk" from a collection of adjacent MrSid mosaics, each about 4Gb in size. Once again, GDAL came to the rescue, and saved much time and agony wile working with very large, compressed, and proprietary-format files. T... [Read more...]

Most of regression methods assume that the response variables follow some exponential distribution families, e.g. Guassian, Poisson, Gamma, etc. However, this assumption was frequently violated in real world data by, for example, zero-inflated overdispersion problem. A number of methods were developed to deal with such problem, and among them, ... [Read more...]

Many of you have heard about RStudio’s latest release and it’s new R Markdown feature. Today, I’d like to announce the markdown package for R, a tool for converting Markdown documents to HTML, created in collaboration with RStudio. It... [Read more...]

Messy matters explores the probability of winning of basketball game when you’re ahead by x points y minutes before the end of the game. [Read more...]

The following post shows how to manually convert a Sweave LaTeX document into a knitr R Markdown document. The post (1) reviews many of the required changes; (2) provides an example of a document converted to R Markdown format based on an analysis of Winter Olympic Medal data up to and including 2006; ... [Read more...]

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Maximum drawdown is blazingly variable. Psychology Probably the most salient feature that an investor notices is the amount lost since the peak: that is, the maximum drawdown. Just because drawdown is noticeable doesn’t mean it is best to notice. Statistics The paper “About the statistics of the maximum drawdown ... [Read more...]

by Yanchang Zhao, RDataMining.com There are some nice slides and R code examples on Data Mining and Exploration at http://www.inf.ed.ac.uk/teaching/courses/dme/, which are listed below. PDF Slides: - Overview of Data Mining http://www.inf.ed.ac.uk/teaching/courses/dme/2012/slides/... [Read more...]

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... [Read more...]

Building a network of interaction between a bunch of genes can help a great deal in understanding the relationships between the seemingly disparate elements from your list. It can seems challenging at first to build such network but it's less complicat... [Read more...]

ggplot2 improves the graphics drawn with R. A (very) short adaptation time is needed to find how to make graphs equivalent to the ones of graphics. For example, to draw the curve of a function, there is no function similar to curve(). You have to use qplot() by setting the ... [Read more...]

After the theoretical analysis, section 8 of Universal Portfolios provides examples.  We now use logopt and R to reproduce them, the first three in this post.The examples of Universal Portfolios use a long time series... [Read more...]

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This is my second follow-up to my previous two posts which were about predicting NBA games with an algorithm, and my first update to the algorithm. The algorithm's record is now 3-1, as it correctly predicted Boston and Oklahoma City as winners of the... [Read more...]

You can also get your fix of ggplot2 on r-bloggers (where this blog is also syndicated): https://www.r-bloggers.com/search/ggplot [Read more...]

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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 → [Read more...]