1041 search results for "Latex"

extrapolation and interpolation The most important lesson I…

May 25, 2010
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extrapolation and interpolation
The most important lesson I…

extrapolation and interpolation The most important lesson I learned from this book:  regression is reliable for interpolation, but not for extrapolation.  Even further, your observations really need to cover the whole gamut of causal variables, inter...

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Introduction to using R with org-babel, Part 1

May 23, 2010
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This post originally appeared on my Wordpress blog on May 23, 2010. I present it here in its original form. In my opinion, the description of orgmode by its creator as a tool "for keeping notes, maintaining ToDo lists, doing project planning,...

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Introduction to using R with org-babel, Part 1

May 23, 2010
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This post originally appeared on my Wordpress blog on May 23, 2010. I present it here in its original form. In my opinion, the description of orgmode by its creator as a tool "for keeping notes, maintaining ToDo lists, doing project planning,...

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highlight 0.1-8

May 21, 2010
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I've pushed version 0.1-8 of highlight to CRAN. highlight is a syntax highlighter for R that renders R source code into some markup language, the package ships html and latex renderers but is flexible enough to handle other formats. Syntax highligh...

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Confusing slice sampler

May 18, 2010
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Confusing slice sampler

Most embarrassingly, Liaosa Xu from Virginia Tech sent the following email almost a month ago and I forgot to reply: I have a question regarding your example 7.11 in your book Introducing Monte Carlo Methods with R.  To further decompose the uniform simulation by sampling a and b step by step, how you determine the

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Hitting the Big Data Ceiling in R

May 16, 2010
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Hitting the Big Data Ceiling in R

As a true R fan, I like to believe that R can do anything, no matter how big, how small or how complicated: there is some way to do it in R. I decided to approach my large, sparse matrix problem with this attitude. But here I sit a broken man. There is no “native” big data support built into...

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Random sudokus

May 16, 2010
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Random sudokus

After thinking about random sudokus for a few more weeks, I eventually came to read the paper by Newton and DeSalvo about the entropy of sudoku matrices. As written earlier, if we consider (as Newton and DeSakvo) a uniform distribution where the sudokus are drawn uniformly over the set of all sudokus, the entropy of

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Typo in Bayesian Core [again]

May 15, 2010
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Typo in Bayesian Core [again]

Reza Seirafi from Virginia Tech sent me the following email about Bayesian Core, which alas is pointing out a real typo in the reversible jump acceptance probability for the mixture model: With respect to the expression provided on page 178 for the acceptance probability of the split move, I was wondering if the omission of

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Sweave for Reproducible Research and Beatiful Statistical Reports

May 11, 2010
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Frank Harrell, chair of the Biostatistics department here at Vanderbilt, is giving a seminar entitled "Sweave for Reproducible Research and Beautiful Statistical Reports" tomorrow, Wednesday, May 12, 1:30-2:30pm, in the MRBIII Conference Room 1220. This tutorial covers the basics of Sweave and shows how to enhance the default output in various ways by using: latex methods for converting R...

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Forsythe’s algorithm

May 8, 2010
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Forsythe’s algorithm

In connection with the Bernoulli factory post of last week, Richard Brent arXived a short historical note recalling George Forsythe’s algorithm for simulating variables with density when (the extension to any upper bound is straightforward). The idea is to avoid computing the exponential function by simulating uniforms until since the probability of this event is

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