Monthly Archives: October 2011

FFT / Power Spectrum Box-and-Whisker Plot with Gggplot2

October 6, 2011
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I have a bunch of time series whose power spectra (FFT via R's spectrum() function) I've been trying to visualize in an intuitive, aesthetically appealing way. At first, I just used lattice's bwplot, but the spacing of the X-axis here really matters. ...

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Visualizing Tables with plot.table

October 6, 2011
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Visualizing Tables with plot.table

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 to indicate if you want to

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Assumptions of the Linear Model

October 6, 2011
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Assumptions of the Linear Model

Linear Assumptions from the Analysis Factor – Assumptions of linear regression (and ANOVA) are about the residuals, not the normality or independence of the response variable (Y). If you don’t know what this means be sure to read this brief … Continue reading →

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Bat Country

October 6, 2011
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Bat Country

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...

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Webinar Oct 13: Successful uses of R in Banking

October 6, 2011
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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 he'll take an in-depth look at applying R...

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Efficient Frontier of Buy-Hold and Tactical System

October 6, 2011
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Efficient Frontier of Buy-Hold and Tactical System

In my mind, there are two very disparate views in the money management space: Markowitz style diversification and Faber style tactical allocation. I thought it would be fun to see what happens when we try to blend the two with an efficient frontier bet...

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Spatiotemporal Data Mining: 2

October 6, 2011
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Spatiotemporal Data Mining: 2

There are many visual methods used to identify patterns in space and time. I've discussed some in prior threads and will show a few others briefly here. One of the most difficult questions I often hear from others regarding markov type approaches, is...

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On R versus SAS

October 6, 2011
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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 →

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A Work of Art: Efron on Bayesian Inference

October 6, 2011
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(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 Statistics seminar. So, since the free shuttle that goes...

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R talk on regular expressions (regex)

October 6, 2011
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R talk on regular expressions (regex)

Regular expressions are a powerful in any language to manipulate, search, etc. data. For example:> fruit <- c("apple", "banana", "pear", "pineapple")> fruit "apple" "banana" "pear" "pineapple"> grep("a", fruit) # there is an ...

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