# Monthly Archives: February 2013

## Fast factor generation with Rcpp

February 27, 2013
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Recall that factors are really just integer vectors with ‘levels’, i.e., character labels that get mapped to each integer in the vector. How can we take an arbitrary character, integer, numeric, or logical vector and coerce it to a factor with Rcpp? It’s actually quite easy with Rcpp sugar: #include <Rcpp.h> using namespace Rcpp;template <int RTYPE> IntegerVector fast_factor_template( const Vector<RTYPE>& x )...

## How to make a scientific result disappear

February 27, 2013
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$How to make a scientific result disappear$

Nathan Danneman (a co-author and one of my graduate students from Emory) recently sent me a New Yorker article from 2010 about the “decline effect,” the tendency for initially promising scientific results to get smaller upon replication. Wikipedia can summarize the phenomenon as well as I can: In his article, Lehrer gives several examples where

## New R Workshop in the Bay Area

February 26, 2013
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Practical Data Visualization with R Saturday March 9th, 2013 8:30-5:00pm EBay 2161 North 1st Street San Jose, California I will be presenting a one day professional development workshop on modern data visualization with R, sponsored by the ACM San Francisco Bay … Continue reading →

## New ways to Hadoop with R

February 26, 2013
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Today, there are two main ways to use Hadoop with R and big data: 1. Use the open-source rmr package to write map-reduce tasks in R (running within the Hadoop cluster - great for data distillation!) 2. Import data from Hadoop to a server running Revolution R Enterprise, via Hbase, ODBC (for high-performance Hadoop/SQL interfaces), or streaming data direct...

## Stop Sign Project Post1: Some GIS stuff done in R

February 26, 2013
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## Job for life ? Bishop of Rome ?

February 26, 2013
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The job of Bishop of Rome – i.e. the Pope – is considered to be a life-long commitment. I mean, it usually was. There have been 266 popes since 32 A.D. (according to http://oce.catholic.com/…): almost all popes have served until their death. But that does not mean that they were in the job for long… One can easily extract...

## Make Your Date Folder Clean with Function unzip & unz

February 26, 2013
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I am a somewhat minimalist R user. I feel uncomfortable if something is not in a good order, such as the names of variables and documents, the structures of my codes and projects. I prefer my data stored in .txt or .csv so I can load them to R using read.table or read.csv. For most of the time we...

## Automatic Notice When Vacancy Available

February 26, 2013
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Today, I visited a webpage inadvertently and found several job positions that I am competent with, unfortunately all of them has expired. How many chances we lost in this way?! So I decide to do somthing to limit this kind of loss, and of course using our smart R!The idea is simple: check the job vacancy webpages reguarly, if...

## The stringdist package

February 26, 2013
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String metrics have important applications in web search, spelling correction and computational biology amongst others. Many different metrics exist, but the most well-known are based on counting the number of basic edit operations it takes to turn one string into … Continue reading →