googleVis tutorial at useR!2013

July 9, 2013
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googleVis tutorial at useR!2013

Today Diego and I will give our googleVis tutorial at useR!2013 in Albacete, Spain.googleVis Tutorial at useR! 2013We will cover:Introduction and motivationGoogle Chart ToolsR package googleVisConcepts of googleVisCase studiesgoogleVis on shiny

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Welcome Message

July 9, 2013
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Welcome Message

Welcome Message for Readers of Kaiser Fung's blog, Big Data Plainly Spoken. Comments on Statistical Thinking in Everyday Life. Big Data Interpretation. Author of Numbersense and Numbers Rule Your World

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Announcing New Book: Numbersense

July 9, 2013
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Announcing New Book: Numbersense

I have a new book arriving at stores this week. It’s titled Numbersense: How to Use Big Data to Your Advantage. If you read this blog, you’d have a good idea what the book is about. I analyze claims made in the media that are supported by analyses of data. I show you how I dissect these claims to decide whether they are credible, or they are bogus. The ability…

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Confusing Stats Terms Explained: Internal Consistency

July 8, 2013
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Confusing Stats Terms Explained: Internal Consistency

Internal consistency refers to the general agreement between multiple items (often likert scale items) that make-up a composite score of a survey measurement of a given construct. This agreement is generally measured by the correlation between items. For example, a survey measure of depression may include many questions that each measure various aspects of depression, such as...

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Confusing Stats Terms Explained: Internal Consistency

July 8, 2013
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Confusing Stats Terms Explained: Internal Consistency

Related Content:Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)Confusing Stats Terms Explained: ResidualConfusing Stats Terms Explained: MulticollinearityConfusing Stats Terms Explained: Standard Deviation Internal consistency ...

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Use R! 2014 to be at UCLA

July 8, 2013
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The 2014 Use R! conference will be in Los Angeles, CA and will be hosted by the UCLA Department of Statistics (an excellent department, I must say) and the newly created Foundation for Open Access Statistics. This is basically the meeting … Continue reading →

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Avert your eyes

July 8, 2013
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Avert your eyes

Reader omegatron came back with another shocking instance of a pie chart: Here is the link to the AVERT organization in the U.K. that published the chart and several others. For the umpteenth time, the pie chart plots proportions. All...

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How to think about a Psychological Science paper that seems iffy but is not obviously flawed?

July 8, 2013
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How to think about a Psychological Science paper that seems iffy but is not obviously flawed?

So I open the email one day and see this: hi, Andrew – FYI, here’s another paper from the Annals of Small-N Correlational Studies, also known as Psychological Science: http://www.futurity.org/society-culture/can-bigger-desks-make-us-dishonest/ and http://www.huffingtonpost.com/2013/06/26/physical-environment-dishonesty-space-corrupt-behavior-study_n_3497126.html hope all is well! The research paper he was referring to is called “The Ergonomics of Dishonesty: The Effect of Incidental Posture on [...]The post How to think about a Psychological Science paper that seems iffy but is…

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More on What Can Be Learned from Statistical Significance

July 8, 2013
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More on What Can Be Learned from Statistical Significance

A while back, I reacted to a post by Justin Esarey, in which he argues that not much can be learned from statistical significance. The basic question he's asking is as follows: For a fixed sample size, what does the posterior probability of the null hypothesis look like if we update based on the result of […]

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How does the IF-THEN statement in SAS treat a missing value?

July 8, 2013
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How does the IF-THEN statement in SAS treat a missing value?

Every programming language has an IF-THEN statement that branches according to whether a Boolean expression is true or false. In SAS, the IF-THEN (or IF-THEN/ELSE) statement evaluates an expression and braches according to whether the expression is nonzero (true) or zero (false). The basic syntax is if numeric-expression then    do-computation; [...]

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An Experiment in Data Driven Digital Art

July 8, 2013
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An Experiment in Data Driven Digital Art

Many moons ago, I produced a number of images visualizing various aspects of the blogosphere. These pictures proved of interest to a number of people in part due to the notion of visualizing the fundamental network structure of the blogosphere...

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How The Rainbow Color Map Misleads

July 8, 2013
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How The Rainbow Color Map Misleads

Colors are perhaps the visual property that people most often misuse in visualization without being aware of it. Variations of the rainbow colormap are very popular, and at the same time the most problematic and misleading. The rainbow color map is based on the colors in the light spectrum, and is sometimes done correctly, sometimes the colors are in the wrong order. Quick, name the colors in the rainbow in order!…

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Oh Ordinal data, what do we do with you?

July 7, 2013
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Oh Ordinal data, what do we do with you?

What can you do with ordinal data? Or more to the point, what shouldn’t you do with ordinal data? First of all, let’s look at what ordinal data is. It is usual in statistics and other sciences to classify types … Continue reading →

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change in weight of cars plot

July 7, 2013
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change in weight of cars plot

Based on last week's faster algorithm I wanted to finish with car weights. Unfortunately a fail again. By now it is a fail of myself, it needs a bit more dedication and grunt than I am willing and able to give for this blog. This week I added...

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Stereotype threat!

July 7, 2013
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Colleen Ganley, Leigh Mingle, Allison Ryan, Katherine Ryan, Marian Vasilyeva, and Michelle Perry write: Stereotype threat has been proposed as 1 potential explanation for the gender difference in standardized mathematics test performance among high-performing students. At present, it is not entirely clear how susceptibility to stereotype threat develops, as empirical evidence for stereotype threat effects [...]The post Stereotype threat! appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Bad news bears: ‘Bayesian bear’ rejoinder-reblog mashup

July 6, 2013
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Bad news bears: ‘Bayesian bear’ rejoinder-reblog mashup

Oh No! It’s those mutant bears again. To my dismay, I’ve been sent, for the third time, that silly, snarky, adolescent, clip of those naughty “what the p-value” bears (first posted on Aug 5, 2012), who cannot seem to get a proper understanding of significance tests into their little bear brains. So apparently some people […]

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Data analysis on the NetBeans Platform

July 6, 2013
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Building any large application always involves a considerable amount of planning and thought to how the infrastructure of the software is going to be implemented. Decisions on the number of windows and views as well as how all the components communicat...

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How to think about papers published in low-grade journals?

July 6, 2013
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We’ve had lots of lively discussions of fatally-flawed papers that have been published in top, top journals such as the American Economic Review or the Journal of Personality and Social Psychology or the American Sociological Review or the tabloids. And we also know about mistakes that make their way into mid-ranking outlets such as the [...]The post How to think about papers published in low-grade journals? appeared first on Statistical…

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A Recipe for Trellis/Faceted Plots Using Base R Graphics

July 6, 2013
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A Recipe for Trellis/Faceted Plots Using Base R Graphics

I frequently use lattice and ggplot2 to create trellis/faceted graphics. But, I gave up using these packages in a recent application, where I had initially constructed a complex graphic using the base R plotting functions. When I later decided that I wanted a faceted version, there was a dilema: re-create the complex graphic using lattice […]

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“Numbersense: How to use big data to your advantage”

July 5, 2013
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Business statistician Kaiser Fung just came out with another book, this one full of stories about how organizations use data: 1. Why do law school deans send each other junk mail? 2. Can a new statistic make us less fat? 3. How can sellouts ruin a business? 4. Will personalizing deals save Groupon? 5. Why [...]The post “Numbersense: How to use big data to your advantage” appeared first on Statistical…

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More plain old everyday Bayesianism

July 5, 2013
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Following up on this story, Bob Goodman writes: A most recent issue of the New England Journal of Medicine published a study entitled “Biventricular Pacing for Atrioventricular Block and Systolic Dysfunction,” (N Engl J Med 2013; 368:1585-1593), whereby “A hierarchical Bayesian proportional-hazards model was used for analysis of the primary outcome.” It is the first [...]The post More plain old everyday Bayesianism appeared first on Statistical Modeling, Causal Inference, and…

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Know your data 12: Your last 200 snapchats

July 5, 2013
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I will never understand why people believe Snapchat when they say the photos would disappear after a set time. Nothing digital ever really disappears. It is long known that deleting a file on your PC does not eliminate it. It is also known that the entire Internet Protocal (IP) is based on replication--copies of the same file can be found on a lot of servers. My colleague showed me this…

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Obtain data sets from the book Statistical Programming with SAS/IML Software

July 5, 2013
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Obtain data sets from the book Statistical Programming with SAS/IML Software

On the Web site for the book Statistical Programming with SAS/IML Software, I provide instructions on how to download the sample data sets and install them so that they can be used from within SAS/IML Studio. When I wrote the book I did not anticipate that SAS users might want [...]

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