Monthly Archives: March 2011

Free and Easy Currency Monitor in R

March 22, 2011
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Free and Easy Currency Monitor in R

Certainly not the best way to keep up with currencies, but the increasingly important job of monitoring currencies can be free and easy in R using Federal Reserve FRED data.  Here is a template that can be adjusted to your favorite currencies with...

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A Short Side-by-side Comparison of the R and NumPy Array Types

March 22, 2011
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Feature NumPy R contiguous (virtual) memory ✔ ✔ 'view' memory model ✔ ✘ subset-assignment ✔ ✔ vectorized operations ✔ ✔ memory-mapping ✔ ✘* broadcasting rules ✔ ✔ index arrays ✔ ✔ This comparison is current as of R 2.13.0, NumPy version 1.4.1, and other web resources to date. Because this post was motivated by a

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data.table: an R package everyone should use

March 22, 2011
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I’m not sure how I missed this package, but I am sure glad I’ve found it. The data.table package for R provides something of a reconceptualization of the standard data.frame object. Though it remains (mostly) compatible with data.frame. The advantage … Continue reading →

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Correlation network

March 22, 2011
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Correlation network

I came up with an idea to draw correlation network to get a grasp about relationship between a list of stocks. An alternative way to show correlation matrix would be head map, which can have limitations with big matrices (>100). Unfortunately,  ggplot2 package doesn’t have a easy way to draw the networks, so I was left

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Example 8.31: Choropleth maps

March 22, 2011
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Example 8.31: Choropleth maps

In our book, we show a simple example of a map (section 6.4.2) where we read the boundary files as data sets and use SAS and R to plot them. But both SAS and R have complex functionality for using pre-compiled map data. To demonstrate them, we'll sho...

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Machine Learning Ex2 – Linear Regression

March 22, 2011
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Machine Learning Ex2 – Linear Regression

Thanks to this post, I found OpenClassroom. In addition, thanks to Andrew Ng and his lectures, I took my first course in machine learning. These videos are quite easy to follow. Exercise 2 requires implementing gradient descent algorithm to model data with linear regression. Read More: 243 Words Totally

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JCGS 20th anniversary

March 22, 2011
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JCGS 20th anniversary

For its 20th anniversary, JCGS offers free access to papers, including Andrew’s discussion paper Why tables are really much better than graphs. (Another serious ending for an April fool joke!) Incidentally (or rather coincidentally), I received today the great news that our Using parallel computation to improve Independent Metropolis-Hastings based estimation paper is accepted by

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Day #9 Using R in Knime nodes

March 22, 2011
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First you need to create a workflow in Knime. This is what i used. I loaded in the Iris data, renamed the tables for further use in my scripts and showed a view, or first did an R snippet to show a view afterwards. Once this is done, make sure your R-B...

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Using R for Introductory Statistics 6, Simulations

March 21, 2011
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Using R for Introductory Statistics 6, Simulations

R can easily generate random samples from a whole library of probability distributions. We might want to do this to gain insight into the distribution's shape and properties. A tricky aspect of statistics is that results like the central limit theore...

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Statistics forum

March 21, 2011
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Statistics forum

The ASA is launching a new blog called the Statistics Forum, managed by Andrew Gelman and to which I will periodically contribute items that may induce some amount of discussion within the community, like the first entry by Michael Lavine on testing. (Meaning I will double-post on the Og and on the Statistics Forum, if

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