plot.table function in the Systematic Investor Toolbox is a flexible table drawing routine. plot.table has a simple interface and takes following parameters: plot.matrix – matrix with data you want to plot smain – text to draw in (top, left) cell; default value is blank string highlight – Either TRUE/FALSE ... [Read more...]

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I've spent a lot of time thinking about and using R's spectrum() function and the Fast Fourier Transform (FFT) in the last 5+ years. Lately, they've begun to remind me a little of a Theremin: simple to use, difficult to master. While prepping a figur... [Read more...]

On Thursday October 13, Hong Ooi from ANZ (Australia and New Zealand Banking Group) will give a webinar presentation on Successful Uses of R (along with SAS and Excel) in Banking. We've covered Hong's use of R for credit risk analysis here on the blog before, and in next week's webinar ... [Read more...]

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A short while ago there was a discussion on linkedin about the use of SAS versus R for the enterprise. I have thought a bit about the issue but, as I do not use Linkedin, I did not make any … Continue reading → [Read more...]

(Contributing blogger Joseph Rickert reports from the Stanford University Statistics Seminar series - ed.) Stanford University is very gracious about letting the general public attend many university events. Yesterday, it caught my eye that Bradley Efron was going to speak on Bayesian inference and the parametric bootstrap at the weekly ... [Read more...]

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Dividing a list of stimuli described by several statistics into subsets which are balanced according to these statistics is a common task in psychological research. For the purpose of preparing materials for an experiment which I am going to conduct &#... [Read more...]

I am going to start a continuing “R Workshop” series of posts with R tips and tricks. If you have questions you’d like answered or were wondering about certain aspects, please leave them in the comments. [Read more...]

Commercial Analytics is the kind that makes money. From data to dollars, insights to income, this is all about how to run the business better. To do it and to do it well you need certain capabilities in place. This article builds a map of those business capabilities to help ... [Read more...]

Benford's law is an amazing thing. If you know the probability distribution that classes of "natural" numbers should have, you can detect where people might be faking data: phony tax returns, bogus scientific studies, etc. [Read more...]

Sparks have been flying between my favorite data analysis language and my favorite programmer's Q & A site since long ago: R flirted with StackOverflow on September 10, 2008, 5 days before StackOverflow was even open to the public. R still hesitates to leave its original suitor, the loud and lively R-help mailing list, ... [Read more...]

I started following the debate on differential minimum wage for youth (15-19 year old) and adults in New Zealand. Eric Crampton has written a nice series of blog posts, making the data from Statistics New Zealand available. I will use … Continue reading → [Read more...]

If you missed last week's webinar on using Revolution R and IBM Netezza to analyze the effectiveness of new rules intended to prevent another financial "Flash Crash", you can watch a replay by filling in this form. Once the replay begins, you can download the slides by clicking the "Download" ... [Read more...]

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Hi, Related to Julyan’s previous post, I want to share an easy way to access Google Maps API through R. And then we’ll stop about Google, otherwise it’ll look like we’re just looking for jobs. My problem was the following: … Continue reading → [Read more...]

This week we rolled out a new release at cloudnumbers.com which implements two new main features: cloudnumbers.com now supports Batch processing. Due to some changes in the architecture we were able to reduce our system requirements. In detail, we do not need that much open ports in your ... [Read more...]

The previous posts, part 1 and part 2, detailed the procedure to successfully import the data and transform the data so that we can extract some useful information from them. Now it's time to get our hands dirty with some predictive modelling. The dependent variable here is a binary variable taking values "0" ... [Read more...]