Posts Tagged ‘ Uncategorized ’

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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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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On deck this week

February 23, 2015
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Mon: “Unbiasedness”: You keep using that word. I do not think it means what you think it means. [My talk tomorrow in the Princeton economics department] Martin Luther King (2) vs. Sigmund Freud Tues: “A small but growing collection of studies suggest X” . . . huh? Aristotle (3) vs. Stewart Lee Wed: The axes […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Complete cases: How to perform listwise deletion in SAS

February 23, 2015
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Complete cases: How to perform listwise deletion in SAS

SAS procedures usually handle missing values automatically. Univariate procedures such as PROC MEANS automatically delete missing values when computing basic descriptive statistics. Many multivariate procedures such as PROC REG delete an entire observation if any variable in the analysis has a missing value. This is called listwise deletion or using […]

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Statistical modelling and analysis of big data

February 22, 2015
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Statistical modelling and analysis of big data

I’m currently attending the one day workshop on this topic at QUT in Brisbane. This morning I spoke on “Visualizing and forecasting big time series data”. My slides are here. The talks are being streamed. OVERVIEW Big data is now endemic in business, industry, government, environmental management, medical science, social research and so on. One […]

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Philip K. Dick (2) vs. Jean Baudrillard

February 22, 2015
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Philip K. Dick (2) vs. Jean Baudrillard

For yesterday, I was gonna go with Vincent, based on X’s comment: In addition to his unique painting style and very special life, van Gogh was highly literate, as shown through the 844 letters from him that are available today. X also made a missing-body-part joke, which I generally don’t think is so cool but, […] The post Philip K. Dick (2) vs. Jean Baudrillard appeared first on Statistical Modeling,…

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Useful for referring—02-20-2015

February 20, 2015
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Useful for referring—02-20-2015

  Deep Learning Master Class Advances in Variational Inference Numerical Optimization: Understanding L-BFGS An exact mapping between the Variational Renormalization Group and Deep Learning New ASA Guidelines for Undergraduate Statistics Programs 奇异值分解(We Recommend a Singular Value Decomposition) 如何简单形象又有趣地讲解神经网络是什么? Academic vs. Industry Careers Hadley Wickham: Impact the world by being useful Statisticians in World War II: […]

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Navigating Big Data Careers with a Statistics PhD

February 18, 2015
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Editor's note: This is a guest post by Sherri Rose. She is an Assistant Professor of Biostatistics in the Department of Health Care Policy at Harvard Medical School. Her work focuses on nonparametric estimation, causal inference, and machine learning in health settings. Dr. Rose received her BS in statistics from The George Washington University and her PhD in

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Monitor the progress of a long-running SAS/IML program

February 18, 2015
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Monitor the progress of a long-running SAS/IML program

When you have a long-running SAS/IML program, it is sometimes useful to be able to monitor the progress of the program. For example, suppose you need to computing statistics for 1,000 different data sets and each computation takes between 5 and 30 seconds. You might want to output a message […]

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Larry David (4) vs. Thomas Hobbes

February 17, 2015
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Yesterday‘s winner is Chris Rock. “There’s math. And then everything else is debatable.” And now, for today, we have a misanthropists’ version of yesterday’s contest: the grumpy comedian battling it out with the consummate realist political philosopher. Nasty, brutish, and short, indeed. It’s a bit scary how appropriate this matchup is, considering they were all […] The post Larry David (4) vs. Thomas Hobbes appeared first on Statistical Modeling, Causal…

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