Monthly Archives: March 2013

Tools for making a paper

March 1, 2013
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Since it seems to be the fashion, here’s a post about how I make my academic papers. Actually, who am I trying to kid? This is also about how I make slides, letters, memos and “Back in 10 minutes” signs to pin on the door. Nevertheless it’s for making academic papers that I’m going to

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R 2.15.3 is released

March 1, 2013
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Follows is the announcement today from Peter Dalgaard, for the R Core Team: The build system rolled up R-2.15.3.tar.gz (codename “Security Blanket”) at 9:00 this morning. This is intended to be the final round-up release of the 2.15 series, and in fact of the entire 2.x.y series which started 2004-10-04. The list below details the changes in this release. You can get...

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Using ENCODE methylation data (RRBS) in R

March 1, 2013
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Using ENCODE methylation data (RRBS) in R

ENCODE project has generated reduced-representation bilsulfite sequencing data for multiple cell lines. The data is organized in an extended bed format with additional columns denoting % methylation and coverage per base. Luckily, this sort of generic...

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Counts may be ratio, but not importance

March 1, 2013
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I can see from those of you who have contacted me that there is still some confusion about the claims made by Sawtooth that MaxDiff estimates can be converted to ratio-scale probabilities.  Many of you seem to believe that if attribute A...

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Data Visualization: Shiny Spiced Consulting

March 1, 2013
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If you haven’t already heard, RStudio has developed an incredibly easy way to deploy R on the web with its Shiny Package. For those who have heard, this really isn’t new as bloggers have already been blogging about it for some … Continue reading → The post Data Visualization: Shiny Spiced Consulting appeared first on Data Community DC.

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Overlapping Histogram in R

March 1, 2013
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Overlapping Histogram in R

While preparing a class exercise involving the use of overlaying of histogram, I searched Google on possible article or discussion on the said topic. Luckily, I found a blog where the author demonstrated an R function to create an overlapping histogram...

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Using Rcpp with Boost.Regex for regular expression

March 1, 2013
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Using Rcpp with Boost.Regex for regular expression

Gabor asked about Rcpp use with regular expression libraries. This post shows a very simple example, based onone of the Boost.RegEx examples. We need to set linker options. This can be as simple as Sys.setenv("PKG_LIBS"="-lboost_regex") With that, the following example can be built: // cf www.boost.org/doc/libs/1_53_0/libs/regex/example/snippets/credit_card_example.cpp #include #include #include bool validate_card_format(const std::string& s) { static const boost::regex e("(\\d{4}){3}\\d{4}"); return...

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