1230 search results for "Excel"

Plotting grouped data vs time with error bars in R

October 31, 2011
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Plotting grouped data vs time with error bars in R

This is my first blog since joiningR-bloggers. I’m quite excited to be part of this group and apologize if I boreany experienced R users with my basic blogs for learning R or offendprogrammers with my inefficient, sloppy coding. Hopefully writing for...

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Plotting grouped data vs time with error bars in R

October 31, 2011
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Plotting grouped data vs time with error bars in R

This is my first blog since joining R-bloggers. I’m quite excited to be part of this group and apologize if I bore any experienced R users with my basic blogs for learning R or offend programmers with my inefficient, sloppy … Continue reading →

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XLConnect 0.1-7

October 24, 2011
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XLConnect 0.1-7

Mirai Solutions GmbH (http://www.mirai-solutions.com) is pleased to announce the availability of XLConnect 0.1-7. This release includes a number of improvements and new features: Performance improvements when writing large xlsx files New workbook data extraction & replacement operators [, [<-, [[, … Continue reading →

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Isarithmic Maps of Public Opinion Data

October 24, 2011
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Isarithmic Maps of Public Opinion Data

As a follow-up to my isarithmic maps of county electoral data, I have attempted to experiment with extending the technique in two ways. First, where the electoral maps are based on data aggregated to the county level, I have sought to generalize the method to accept individual responses for which only zip code data is … Continue reading →

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understanding computational Bayesian statistics: a reply from Bill Bolstad

October 23, 2011
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understanding computational Bayesian statistics: a reply from Bill Bolstad

Bill Bolstad wrote a reply to my review of his book Understanding computational Bayesian statistics last week and here it is, unedited except for the first paragraph where he thanks me for the opportunity to respond, “so readers will see that the book has some good features beyond having a “nice cover”.” (!) I simply processed

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The Zipf and Zipf-Mandelbrot distributions

The Zipf and Zipf-Mandelbrot distributions

In my last few posts, I have been discussing some of the consequences of the slow decay rate of the tail of the Pareto type I distribution, along with some other, closely related notions, all in the context of continuously distributed data.  Today’s post considers the Zipf distribution for discrete data, which has come to be extremely popular as...

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Teaching with R: the switch

October 21, 2011
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There are several blog posts, websites (and even books) explaining the transition from using another statistical system (e.g. SAS, SPSS, Stata, etc) to relying on R. Most of that material treats the topic from the point of view of i- … Continue reading →

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The R-Files: Paul Teetor

October 19, 2011
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The R-Files: Paul Teetor

"The R-Files" is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Paul Teetor Profession: Quantitative developer (freelance) Nationality: American Years Using R: 7 Known for: Author of R Cookbook (O’Reilly Media, 2011) An active member of the R community, Paul Teetor is a quantitative developer and statistical consultant based in the...

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Revolution Newsletter: October 2011

October 17, 2011
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full October edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Applications of R Contest: Deadline October 31. Revolution Analytics is offering $20,000 in prizes...

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Lattice when modeling, ggplot when publishing

October 17, 2011
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Lattice when modeling, ggplot when publishing

When working in research projects I tend to fit several, sometimes quite a few, alternative models. This model fitting is informed by theoretical considerations (e.g. quantitative genetics, experimental design we used, our understanding of the process under study, etc.) but … Continue reading →

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