Monthly Archives: February 2013

analyze the survey of income and program participation (sipp) with r

February 4, 2013
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if the census bureau's budget was gutted and only one complex sample survey survived, pray it's the survey of income and program participation (sipp).  it's giant.  it's rich with variables.  it's monthly.  it follows households over three, four, now five year panels.  the congressional budget office uses it for their health insurance simulation.  analysts read that sipp has...

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Data Visualization for Education

February 3, 2013
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Recently I was invited to give a talk to two cohorts of Strategic Data Project fellows. I was asked to speak about using data visualization to help inform decision-making of policy makers. At the same time, the group had a lot of variation in their int...

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A Grid Search for The Optimal Setting in Feed-Forward Neural Networks

February 3, 2013
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A Grid Search for The Optimal Setting in Feed-Forward Neural Networks

The feed-forward neural network is a very powerful classification model in the machine learning content. Since the goodness-of-fit of a neural network is majorly dominated by the model complexity, it is very tempting for a modeler to over-parameterize the neural network by using too many hidden layers or/and hidden units. As pointed out by Brian

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Japanese Government Bonds (JGB) Total Return Series

February 3, 2013
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Japanese Government Bonds (JGB) Total Return Series

In a follow up to Yen and JGBs Short-Term vs Long Term and a series of posts on Japan, I thought the Bloomberg article "Japan Pension Fund’s Bonds Too Many If Abe Succeeds, Mitani Says" was particularly interesting.  It is difficult to find a to...

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An Example of Seasonality Analysis

February 3, 2013
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An Example of Seasonality Analysis

Today, I want to demonstrate how easy it is to create a seasonality analysis study and produce a sample summary report. As an example study, I will use S&P Annual Performance After a Big January post by Avondale Asset Management. The first step is to load historical prices and find Big Januaries. All the hard

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The Rcpp Gallery and my <em>Seinfeld Streak</em>

February 3, 2013
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A good three weeks ago, we introduced the Rcpp Gallery. While this is a joint effort by several of us on the Rcpp team, the backend was conceived and implemented entirely by JJ who also bootstrapped it with same first content, drawing on posts by Ha...

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The Rcpp Gallery and my Seinfeld Streak

February 3, 2013
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A good three weeks ago, we introduced the Rcpp Gallery. While this is a joint effort by several of us on the Rcpp team, the backend was conceived and implemented entirely by JJ who also bootstrapped it with same first content, drawing on posts by Ha...

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Checking validation statistics (Monitor function 030220139)

February 3, 2013
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(This article was first published on NIR-Quimiometria, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on his blog: NIR-Quimiometria. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics...

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Clustering using dynamic tree cut

February 3, 2013
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Clustering using dynamic tree cut

Summary: Two methods for hierarchical clustering are introduced: (i) dynamic tree cut; and (ii) dynamic hybrid cut. Dynamic tree cut is a top-down algorithm that relies solely on the dendrogram. The algorithm implements an adaptive, iterative process of cluster decomposition … Continue reading →

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Arc Diagrams in R: Les Miserables

February 3, 2013
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Arc Diagrams in R: Les Miserables

In this post we will talk about the R package “arcdiagram” for plotting pretty arc diagrams like the one below: Arc Diagrams An arc diagram is a graphical display to visualize graphs or networks in a one-dimensional layout. The main idea is to display nodes along a single axis, while representing the edges or connections … Continue reading...

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