481 search results for "register"

Using Rcpp to access the C API of xts

January 19, 2013
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Using Rcpp to access the C API of xts

The xts package by Jeff Ryan and Josh Ulrich is an immensely powerful tool that is widely used for timeseries work with R. Recently, the question about how to use it from Rcpp came up on StackOverflow and in a thread on the rcpp-devel list.In fact, xts has had an exposed API since 2008, but it...

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How much can we learn from an empirical result? A Bayesian approach to power analysis and the implications for pre-registration.

January 18, 2013
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How much can we learn from an empirical result? A Bayesian approach to power analysis and the implications for pre-registration.

Just like a lot of political science departments, here at Rice a group of faculty and students meet each week to discuss new research in political methodology. This week, we read a new symposium in Political Analysis about the pre-registration of studies in political science. To briefly summarize, several researchers argued that political scientists should

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Maize trade Part I: Generate the network diagram

January 17, 2013
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Maize trade Part I: Generate the network diagram

It has been several month since my last post, partially due to the fact that my laptop was lost and several deadlines was approaching. Fortunately I will be returning to Taiwan and get a new laptop within a week, and will be updating regularly...

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Two free online courses starting soon: Data Analysis (with R) and Social Network Analysis

January 17, 2013
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Two free online courses starting soon: Data Analysis (with R) and Social Network Analysis

There are two online courses starting soon on Coursera, which are free to register. 1. Data Analysis (with R) It is a 8-week online course starting on Jan 22nd 2013 <https://www.coursera.org/course/dataanalysis>. This course is an applied statistics course focusing on … Continue reading →

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analyze the health and retirement study (hrs) with r

January 14, 2013
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the hrs is the one and only longitudinal survey of american seniors.  with a panel starting its third decade, the current pool of respondents includes older folks who have been interviewed every two years as far back as 1992.  unlike cross-se...

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(not provided): Using R and the Google Analytics API

January 11, 2013
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(not provided): Using R and the Google Analytics API

For power users of Google Analytics, there is a heavy dose of spreadsheet work that accompanies any decent analysis.  But even with Excel in tow, it’s often difficult to get the data just right without resorting to formula hacks and manual table formatting.  This is where the Google Analytics API and R can come very (not provided): Using...

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New R User Group – Manchester R

January 11, 2013
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Mango Solutions announce the inaugural meeting of a new R user group in Manchester, UK.   Date:                      7th Feb 2013 Venue:                 Odder Bar, Manchester (14 Oxford Road, M1 5QA) http://oddbar.co.uk/odder Timings: ·         6:00 – 6:30 Getting started in R by Chris Campbell. A free pre-meeting workshop to give an introduction to R for complete beginners. ·         7:00 – 7:10 Welcome by...

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Webinar Jan 24: Using R with Hadoop

January 10, 2013
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In two weeks (on January 24), Think Big Analytics' Jeffrey Breen will present a new webinar on using R with Hadoop. Here's the webinar description: R and Hadoop are changing the way organizations manage and utilize big data. Think Big Analytics and Revolution Analytics are helping clients plan, build, test and implement innovative solutions based on the two technologies...

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Factor Analysis of Baseball’s Hall of Fame Voters

January 9, 2013
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Factor Analysis of Baseball’s Hall of Fame Voters

Factor Analysis of Baseball's Hall of Fame VotersRecently, Nate Silver wrote a post which analyzed how voters who voted for and against Barry Bonds for Baseball's Hall of Fame differed. Not surprisingly, those who voted for Bonds were more likely to vote for other suspected steroids users (like Roger Clemens). This got...

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Speeding up R computations Pt III: parallelization

January 8, 2013
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In two previous posts, I have written about how you can speed up your R computations either by using strange notation and non-standard functions or by compiling your code. Last year my department bought a 64-core computational server, which allowed me ...

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