Posts Tagged ‘ Statistical Graphics ’

Visualizing the causes of airline crashes

March 30, 2015
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Visualizing the causes of airline crashes

There has been a spate of recent high-profile airline crashes (Malaysia Airlines, TransAsia Airways, Germanwings,...) so I was surprised when I saw a time series plot of the number of airline crashes by year, which indicates that the annual number of airline crashes has been decreasing since 1993. The data […] The post Visualizing the causes of airline crashes appeared first on The DO Loop.

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The publication of one of my pet ideas: Simulation-efficient shortest probability intervals

March 28, 2015
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In a paper to appear in Statistics and Computing, Ying Liu, Tian Zheng, and I write: Bayesian highest posterior density (HPD) intervals can be estimated directly from simulations via empirical shortest intervals. Unfortunately, these can be noisy (that is, have a high Monte Carlo error). We derive an optimal weighting strategy using bootstrap and quadratic […] The post The publication of one of my pet ideas: Simulation-efficient shortest probability intervals…

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Interactive demonstrations for linear and Gaussian process regressions

March 7, 2015
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Interactive demonstrations for linear and Gaussian process regressions

Here’s a cool interactive demo of linear regression where you can grab the data points, move them around, and see the fitted regression line changing. There are various such apps around, but this one is particularly clean: (I’d like to credit the creator but I can’t find any attribution at the link, except that it’s […] The post Interactive demonstrations for linear and Gaussian process regressions appeared first on Statistical…

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Defaults, once set, are hard to change.

March 5, 2015
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So. Farewell then Rainbow color scheme. You reigned in Matlab Far too long. But now that You are no longer The default, Will we miss you? We can only Visualize. E. T. Thribb (17 1/2) Here’s the background.  Brad Stiritz writes: I know you’re a creator and big proponent of open-source tools. Given your strong interest […] The post Defaults, once set, are hard to change. appeared first on Statistical Modeling,…

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Introducing shinyStan

March 2, 2015
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Introducing shinyStan

As a project for Andrew’s Statistical Communication and Graphics graduate course at Columbia, a few of us (Michael Andreae, Yuanjun Gao, Dongying Song, and I) had the goal of giving RStan’s print and plot functions a makeover. We ended up getting a bit carried away and instead we designed a graphical user interface for interactively exploring virtually […] The post Introducing shinyStan appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Plotting multiple time series in SAS/IML (Wide to Long, Part 2)

February 27, 2015
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Plotting multiple time series in SAS/IML (Wide to Long, Part 2)

I recently wrote about how to overlay multiple curves on a single graph by reshaping wide data (with many variables) into long data (with a grouping variable). The implementation used PROC TRANSPOSE, which is a procedure in Base SAS. When you program in the SAS/IML language, you might encounter data […]

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The axes are labeled but I don’t know what the dots represent.

February 25, 2015
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The axes are labeled but I don’t know what the dots represent.

John Sukup writes: I came across a chart recently posted by Boston Consulting Group on LinkedIn and wondered what your take on it was. To me, it seems to fall into the “suspicious” category but thought you may have a different opinion. I replied that this one baffles me cos I don’t know what the […] The post The axes are labeled but I don’t know what the dots represent.…

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Plotting multiple series: Transforming data from wide to long

February 25, 2015
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Plotting multiple series: Transforming data from wide to long

Data. To a statistician, data are the observed values. To a SAS programmer, analyzing data requires knowledge of the values and how the data are arranged in a data set. Sometimes the data are in a "wide form" in which there are many variables. However, to perform a certain analysis […]

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Another example of why centering predictors can be good idea

February 19, 2015
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Another example of why centering predictors can be good idea

Andrew Dolman writes: Just in case you need another example of why it is important to consider what the intercepts in a model represent, here is a short comment I [Dolman] just got published correcting a misinterpretation of a simple linear model, that would not have happened if they had centered their predictor around a […] The post Another example of why centering predictors can be good idea appeared first…

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Binary heart in SAS

February 11, 2015
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Binary heart in SAS

The xkcd comic often makes me think and laugh. The comic features physics, math, and statistics among its topics. Many years ago, the comic showed a "binary heart": a grid of binary (0/1) numbers with the certain numbers colored red so that they formed a heart. Some years later, I […]

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