2692 search results for "twitteR"

Cross validated question

February 19, 2012
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Cross validated question

Another problem generated by X’validated (on which I spent much too much time!): given an unbiased coin that produced M heads in the first M tosses, what is the expected number of additional tosses needed to get N (N>M) consecutive heads? Consider the preliminary question of getting a sequence of N heads out of k

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Standard Normal Variate (SNV)

February 19, 2012
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Standard Normal Variate (SNV)

(This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers) This is another pretreatment used quite often in Near Infrared to remove the scatter. It is applied to every spectrum individually. The average and standard deviation of all the data points for that spectra is calculated. Every data point of the spectra is substracted from the mean and...

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R for Quants, Part III (A)

February 18, 2012
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R for Quants, Part III (A)

This is the third part in a three part series on teaching R to MFE students at CUNY Baruch. The …Continue reading »

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Mid-February flotsam

February 17, 2012
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Mid-February flotsam

This coming Monday we start the first semester in Canterbury (and in New Zealand for that matter). We are all looking forward to an earthquake-free year; more realistically, I’d be happy with low magnitude aftershocks. The Wall Street Journal reports … Continue reading →

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Plotting the “Mean Spectrum”

February 17, 2012
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Plotting the “Mean Spectrum”

(This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers) Mean spectrum calculation is important: To center a matrix of spectra, we subtract the mean spectrum, from every spectrum in the matrix. There are also many options to use the mean spectrum, like average subsamples. Let´s calculate and plot the mean spectra for the Yarn NIR Data:...

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R for Quants, Part II (A)

February 16, 2012
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R for Quants, Part II (A)

This is the second part in a three part series on teaching R to MFE students at CUNY Baruch. The …Continue reading »

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Machine Learning for Hackers

February 16, 2012
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Machine Learning for Hackers

"Machine Learning for Hackers" is a new book from O'Reilly Media by Drew Conway and John Myles White. A "hacker", here, is "someone who likes to solve problems and experiment with new technologies", and "Machine Learning" is usually thought of as a black-box, algorithmic approach to producing predictions or classifications from data. This book, however, takes a pleasingly statistical...

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Revolution Newsletter: February 2012

February 15, 2012
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full February edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Revolution Analytics Welcomes New CEO, Dave Rich. Dave joins the Revolution team from Accenture...

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"NIR Std. Dev. Spectra" with "R"

February 15, 2012
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"NIR  Std. Dev. Spectra" with "R"

(This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers) It is always good to look at the spectra from different points of view, before to develop a regression, this will help us to understand better our samples, to detect outliers, to check where the variability is, if that variability correlates with the constituent of interest (directly...

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R for Quants, Part I (B)

February 13, 2012
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R for Quants, Part I (B)

This is a continuation of the R workshop I’m teaching at the Baruch MFE program. This section discusses the programming …Continue reading »

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