andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-1907 knowledge-graph by maker-knowledge-mining

1907 andrew gelman stats-2013-06-20-Amazing retro gnu graphics!


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Introduction: Bill Harris writes: Speaking of strange graphics, http://makingsense.facilitatedsystems.com/2007/03/making-musical-sense-by-email-part-2.html shows an example of text (gnuplot’s dumb terminal) graphics of data from MCSim (code and other material available from http://makingsense.facilitatedsystems.com/2007/03/making-musical-sense-by-email-table-of.html). At another extreme, slide 20 of https://docs.google.com/viewer?a=v&pid;=sites&srcid;=ZGVmYXVsdGRvbWFpbnx3c2hhcnJpczEzfGd4OjZkNGFjZWZhOTAyYTFkMDg shows a stereogram of more MCSim output (I was a bit more naive back then). I included the stereogram as a bit of humor just to show what could be done with J graphics. Surprisingly, one person in the audience focused intently on that slide and, after a moment, said “Got it!” We spoke afterwards, and it turned out that he was on the board or at least a volunteer at the Portland (OR) 3D Center of Art & Photography (http://www.3dcenterusa.com/index.html). Regarding mcsim, the


Summary: the most important sentenses genereted by tfidf model

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1 html shows an example of text (gnuplot’s dumb terminal) graphics of data from MCSim (code and other material available from http://makingsense. [sent-4, score-0.406]

2 At another extreme, slide 20 of https://docs. [sent-8, score-0.173]

3 a=v&pid;=sites&srcid;=ZGVmYXVsdGRvbWFpbnx3c2hhcnJpczEzfGd4OjZkNGFjZWZhOTAyYTFkMDg shows a stereogram of more MCSim output (I was a bit more naive back then). [sent-11, score-0.509]

4 I included the stereogram as a bit of humor just to show what could be done with J graphics. [sent-12, score-0.331]

5 Surprisingly, one person in the audience focused intently on that slide and, after a moment, said “Got it! [sent-13, score-0.173]

6 ” We spoke afterwards, and it turned out that he was on the board or at least a volunteer at the Portland (OR) 3D Center of Art & Photography (http://www. [sent-14, score-0.156]

7 It was missing the ability to do tabular nonlinearities, and so I wrote Frederic. [sent-19, score-0.252]

8 He quickly added inline code ability, which lets me use the GSL and its interpolation routines. [sent-20, score-0.522]

9 I’m looking forward to your adding that capability to Stan soon (especially since I no longer know how to install MCSim on Windows! [sent-21, score-0.182]

10 Incidentally, the quick reference card mentioned at that link is now available on the MCSim home page and shows how I use the inline code feature. [sent-23, score-0.646]


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Introduction: Bill Harris writes: Speaking of strange graphics, http://makingsense.facilitatedsystems.com/2007/03/making-musical-sense-by-email-part-2.html shows an example of text (gnuplot’s dumb terminal) graphics of data from MCSim (code and other material available from http://makingsense.facilitatedsystems.com/2007/03/making-musical-sense-by-email-table-of.html). At another extreme, slide 20 of https://docs.google.com/viewer?a=v&pid;=sites&srcid;=ZGVmYXVsdGRvbWFpbnx3c2hhcnJpczEzfGd4OjZkNGFjZWZhOTAyYTFkMDg shows a stereogram of more MCSim output (I was a bit more naive back then). I included the stereogram as a bit of humor just to show what could be done with J graphics. Surprisingly, one person in the audience focused intently on that slide and, after a moment, said “Got it!” We spoke afterwards, and it turned out that he was on the board or at least a volunteer at the Portland (OR) 3D Center of Art & Photography (http://www.3dcenterusa.com/index.html). Regarding mcsim, the

2 0.16717355 1141 andrew gelman stats-2012-01-28-Using predator-prey models on the Canadian lynx series

Introduction: The “Canadian lynx data” is one of the famous examples used in time series analysis. And the usual models that are fit to these data in the statistics time-series literature, don’t work well. Cavan Reilly and Angelique Zeringue write : Reilly and Zeringue then present their analysis. Their simple little predator-prey model with a weakly informative prior way outperforms the standard big-ass autoregression models. Check this out: Or, to put it into numbers, when they fit their model to the first 80 years and predict to the next 34, their root mean square out-of-sample error is 1480 (see scale of data above). In contrast, the standard model fit to these data (the SETAR model of Tong, 1990) has more than twice as many parameters but gets a worse-performing root mean square error of 1600, even when that model is fit to the entire dataset. (If you fit the SETAR or any similar autoregressive model to the first 80 years and use it to predict the next 34, the predictions

3 0.13765775 112 andrew gelman stats-2010-06-27-Sampling rate of human-scaled time series

Introduction: Bill Harris writes with two interesting questions involving time series analysis: I used to work in an organization that designed and made signal processing equipment. Antialiasing and windowing of time series was a big deal in performing analysis accurately. Now I’m in a place where I have to make inferences about human-scaled time series. It has dawned on me that the two are related. I’m not sure we often have data sampled at a rate at least twice the highest frequency present (not just the highest frequency of interest). The only articles I’ve seen about aliasing as applied to social science series are from Hinich or from related works . Box and Jenkins hint at it in section 13.3 of Time Series Analysis, but the analysis seems to be mostly heuristic. Yet I can imagine all sorts of time series subject to similar problems, from analyses of stock prices based on closing prices (mentioned in the latter article) to other economic series measured on a monthly basis to en

4 0.080791906 198 andrew gelman stats-2010-08-11-Multilevel modeling in R on a Mac

Introduction: Peter Goff wrote: I’m using your text, Data Analysis Using Regression & Multilevel/Hierarchical Models as the basis for an independent study class this fall. I am fairly adapt with Stata, however I have no expertise in R (changing this condition is a goal of the independent study!). I’m working to get up and running with the examples from the book, but I’m running into several problems, all apparently stemming from my having a Mac as opposed to a PC. Specifically I cannot load the “arm” library because I cannot install the lme4 library as lme4 is not available for Macs. Yu-Sung replied: Here are steps for you to install lme4: 1. update your x11 code for Mac system (so that you have gcc and g77 complier) 2. download source code for lme4 from the CRAN. 3. install lme4 from the source you just downloaded. I am not a Mac user. I am adapting steps from installing lme4 in a linux OS. But we have colleagues here following the same instructions and make lme4 working on

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Introduction: Bill Harris writes: Speaking of strange graphics, http://makingsense.facilitatedsystems.com/2007/03/making-musical-sense-by-email-part-2.html shows an example of text (gnuplot’s dumb terminal) graphics of data from MCSim (code and other material available from http://makingsense.facilitatedsystems.com/2007/03/making-musical-sense-by-email-table-of.html). At another extreme, slide 20 of https://docs.google.com/viewer?a=v&pid;=sites&srcid;=ZGVmYXVsdGRvbWFpbnx3c2hhcnJpczEzfGd4OjZkNGFjZWZhOTAyYTFkMDg shows a stereogram of more MCSim output (I was a bit more naive back then). I included the stereogram as a bit of humor just to show what could be done with J graphics. Surprisingly, one person in the audience focused intently on that slide and, after a moment, said “Got it!” We spoke afterwards, and it turned out that he was on the board or at least a volunteer at the Portland (OR) 3D Center of Art & Photography (http://www.3dcenterusa.com/index.html). Regarding mcsim, the

2 0.72972918 211 andrew gelman stats-2010-08-17-Deducer update

Introduction: A year ago we blogged about Ian Fellows’s R Gui called Deducer (oops, my bad, I meant to link to this ). Fellows sends in this update: Since version 0.1, I [Fellows] have added: 1. A nice plug-in interface, so that people can extend Deducer’s capability without leaving the comfort of R. (see: http://www.deducer.org/pmwiki/pmwiki.php?n=Main.Development ) 2. Several new dialogs. 3. A one-step installer for windows. 4. A plug-in package (DeducerExtras) which extends the scope of analyses covered. 5. A plotting GUI that can create anything from simple histograms to complex custom graphics. Deducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which to view and edit data frames. The goal of the project is two fold. Provide an intuitive interface so that non-technical users can learn and p

3 0.71741998 1175 andrew gelman stats-2012-02-19-Factual – a new place to find data

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