Monthly Archives: March 2014

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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Data Preparation – Part II

March 27, 2014
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Data Preparation – Part II

This time i will talk about how to deal with large text files in chuncks with R. Just to provide The post Data Preparation – Part II appeared first on Flavio Barros .

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More fun with %.% and %>%

March 27, 2014
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More fun with %.% and %>%

The %.% operator in dplyr allows one to put functions together without lots of nested parentheses. The flanking percent signs are R’s way of denoting infix operators; you might have used %in% which corresponds to the match function or %*% which is matrix multiplication. The %.% operator is also called chain, and what it does

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Blurry Fractals

March 27, 2014
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Blurry Fractals

Beauty is the first test; there is no permanent place in the world for ugly mathematics (G. H. Hardy) Newton basin fractals are the result of iterating Newton’s method to find roots of a polynomial over the complex plane. It maybe sound a bit complicated but is actually quite simple to understand. Those who would

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Visualizing principal components with R and Sochi Olympic Athletes

March 27, 2014
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Visualizing principal components with R and Sochi Olympic Athletes

Principal Components Analysis (PCA) is used as a dimensionality reduction method. Here we simply explain PCA step-by-step using data about Sochi Olympic Curlers. It is hard to visualize a high dimensional space. When I took linear algebra, the book and teachers spoke about it as if were easy to visualize a hyperspace, but...

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