Monthly Archives: March 2014

Titanic challenge on Kaggle with decision trees (party) and SVMs (kernlab)

March 28, 2014
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Titanic challenge on Kaggle with decision trees (party) and SVMs (kernlab)

The Titanic challenge on Kaggle is about inferring from a number of personal details whether a passenger survived the disaster or did not. I gave two algorithms a try, which are decision trees using R package party and SVMs using … Continue reading → The post Titanic challenge on Kaggle with decision trees (party) and SVMs (kernlab)...

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R Training for SAS users in Singapore and online

March 28, 2014
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Revolution Analytics has just introduced a 10-module series of R courses in Singapore. If you'd like to learn how to do data analysis in R, already know data analysis in another language like SAS and want to transition to R, or just want to enhance your R skills in a specific area, one of these hands-on courses may be...

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Slopegraphs | rCharts –> maybe finance versions

March 28, 2014
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Back in 2011, Charlie Park did two very thorough posts on Edward Tufte’s table graphics or slopegraphs. http://charliepark.org/slopegraphs/ http://charliepark.org/a-slopegraph-update/ These type graphics can provide very effective visualizations of ...

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Circular Migration Flow Plots in R

March 28, 2014
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Circular Migration Flow Plots in R

A article of mine was published in Science today. It introduces estimates for bilateral global migration flows between all countries. The underlying methodology is based on the conditional maximisation routine in my Demographic Research paper. However, I tweaked the demographic … Continue reading →

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A Simple Introduction to the Graphing Philosophy of ggplot2

March 28, 2014
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A Simple Introduction to the Graphing Philosophy of ggplot2

Blog post: a very basic introduction to building data plots using ggplot2 in R. #Rstats

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Upcoming Rcpp talks and workshops

March 27, 2014
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A number of talks about Rcpp are scheduled over the next couple of months: Our sixth internation conference R/Finance, will take place May 16 and 17, 2014, at UIC in Chicago. See the current draft agenda for details of the program---whic...

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Why use R? Five reasons.

March 27, 2014
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Why use R? Five reasons.

In this post I will go through 5 reasons: zero cost, crazy popularity, awesome power, dazzling flexibility, and mind-blowing support. I believe R is the best statistical programming language to learn. As a blogger who has contributed over 150 posts in Stata and over 100 in R I have extensive experience with both a proprietary statistical programming language...

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Bayesian Data Analysis [BDA3]

March 27, 2014
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Bayesian Data Analysis [BDA3]

Andrew Gelman and his coauthors, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Don Rubin, have now published the latest edition of their book Bayesian Data Analysis. David and Aki are newcomers to the authors’ list, with an extended section on non-linear and non-parametric models. I have been asked by Sam Behseta to write

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Assign n Email Addresses to x Cells, Intrinsically (Part II)

March 27, 2014
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Part I showed the concept and general technique of a method of assigning n email addresses to x cells pseudo-randomly, without the need for maintaining a log of each assignment.The earlier post considered the basic case of each cell being assigned approximately the same quantity of email addresses. In practice, cell sizes often vary. Below is a technique that...

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Analysis of experiments using ASReml-R, Chicago, 24/25th April

March 27, 2014
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This workshop is aimed at scientist/practitioners that are interested in analyzing complex datasets by fitting linear mixed models, particularly users with experience in breeding programs and design and analysis of experiments. After the workshop the participants should be able to understand the use of ASReml and to analyze most biological experiment and particularly, study breeding trials for single or...

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