2041 search results for "regression"

Statistical modeling and computation [book review]

January 21, 2014
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Statistical modeling and computation [book review]

Dirk Kroese (from UQ, Brisbane) and Joshua Chen (from ANU, Canberra) just published a book entitled Statistical Modeling and Computation, distributed by Springer-Verlag (I cannot tell which series it is part of from the cover or frontpages…) The book is intended mostly for an undergrad audience (or for graduate students with no probability or statistics

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Estimating a nonlinear time series model in R

January 20, 2014
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Estimating a nonlinear time series model in R

There are quite a few R packages available for nonlinear time series analysis, but sometimes you need to code your own models. Here is a simple example to show how it can be done. The model is a first order threshold autoregression:     where is a Gaussian white noise series with variance . The following function will generate...

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Fast-track publishing using knitr: stitching it together (part V)

January 20, 2014
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Fast-track publishing using knitr: stitching it together (part V)

Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. There has been plenty of feedback and interest for the series, and in this post I would like to provide (1) a brief summary and (2) an example showing how to put all the pieces together. [caption id="attachment_1094"...

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ggplot2 in Python: A major barrier broken

January 20, 2014
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ggplot2 in Python: A major barrier broken

I have been working with Python recently and I have to say, I love it. There’s a learning curve, of course, which has been frustrating. However, once I got comfortable with it (and continue to do so), I found that … Continue reading →

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Statistics meets rhetoric: A text analysis of "I Have a Dream" in R

January 20, 2014
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Statistics meets rhetoric: A text analysis of "I Have a Dream" in R

This article was first published on analyze stuff. It has been contributed to Anything but R-bitrary as the second article in its introductory series.By Max Ghenis Today, we celebrate the would-be 85th birthday of Martin Luther King, Jr., a man remembered for pioneering the civil rights movement through his courage, moral leadership, and oratory prowess. This post...

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Statistics meets rhetoric: A text analysis of “I Have a Dream” in R

January 20, 2014
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Statistics meets rhetoric: A text analysis of “I Have a Dream” in R

Today, we celebrate the would-be 85th birthday of Martin Luther King, Jr., a man remembered for pioneering the civil rights movement through his courage, moral leadership, and oratory prowess. This post focuses on his most famous speech, I Have a Dream given on the steps of the Lincoln Memorial to over...

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Second NYC R classes(announcement and teaching experience)

January 20, 2014
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Second NYC R classes(announcement and teaching experience)

(The photo was from our first offering of R classes) We are going to offer our Data Science by R (beginner level) course again in February. The goal of this class is to get students to a point where they are self-sufficient in R, are proficient at analyzing data and can take these skills back to their full-time jobs....

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Use standard deviation (not mad about MAD)

January 19, 2014
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Use standard deviation (not mad about MAD)

Nassim Nicholas Taleb recently wrote an article advocating the abandonment of the use of standard deviation and advocating the use of mean absolute deviation. Mean absolute deviation is indeed an interesting and useful measure- but there is a reason that standard deviation is important even if you do not like it: it prefers models that Related posts:

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Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)

January 19, 2014
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Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)

My last post railed against the bad visualizations that people often use to plot quantitive data by groups, and pitted pie charts, bar charts and dot plots against each other for two visualization tasks.  Dot plots came out on top. … Continue reading →

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Evolution hospital beds, resources and consumption

January 19, 2014
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Evolution hospital beds, resources and consumption

For this analysis publicly available data from the OECD is used. The time series run from 1975 to 2013 (where available). Let’s focus on Belgium, Germany, France, The Netherlands, United Kingdom, United States, Norway and Switzerland and have a look at their number of hospital beds per 1000 population. The blue line is a trend The post

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