1035 search results for "LaTeX"

Making Reproducible Research Enjoyable

June 25, 2012
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Making Reproducible Research Enjoyable

Note: this is a contributed article for the ICSA Bulletin and the basic idea can be summarized in this picture. It is hard to convince people to think about reproducible research (RR). There are two parts of difficulties: (1) tools used to be for ex...

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How many ecologists were on ECOLOG in 1992?

June 25, 2012
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How many ecologists were on ECOLOG in 1992?

Remember 1992? I had just turned 13 and was still a year away from highschool when my true descent into nerdom and the internet would begin. Back then it was with a local BBS (Bulletin Board System) run by a guy in a trailer park named Charlie and a 1200 baud modem on...

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Split-plot 1: How does a linear mixed model look like?

June 24, 2012
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Split-plot 1: How does a linear mixed model look like?

I like statistics and I struggle with statistics. Often times I get frustrated when I don’t understand and I really struggled to make sense of Krushke’s Bayesian analysis of a split-plot, particularly because ‘it didn’t look like’ a split-plot to … Continue reading →

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useR 2012: main conference braindump

June 24, 2012
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useR 2012: main conference braindump

I knew R was versatile, but DANG, people do a lot with it: > > … I don’t think anyone actually believes that R is designed to make *everyone* happy. For me, R does about 99% of the things I … Continue reading →

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eoda publishes interactiveGGPLOT – interactive graphics with ggplot2

June 22, 2012
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One of Rs great strengths compared to other statistic solutions or programming languages ​​is the amount of possibilities for creating well-designed publication-quality plots. Almost all plot types can be created with any amount of fine tuning. R works on small data sets as well as on big data. In addition to Rs base-graphics various add-on

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Reproducible reports & research with knitr in R Studio

June 18, 2012
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Reproducible reports & research with knitr in R Studio

Arguably, knitr (CRAN link) is the most outstanding R package of this year and its creator, Yihui Xie is the star of the useR! conference 2012. This is because the ease of use comparing to Sweave for making reproducible report. Integration of knitR and R Studio has made reproducible research much more convenience, intuitive and easier to

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Standard, Robust, and Clustered Standard Errors Computed in R

June 15, 2012
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Standard, Robust, and Clustered Standard Errors Computed in R

Where do these come from? Since most statistical packages calculate these estimates automatically, it is not unreasonable to think that many researchers using applied econometrics are unfamiliar with the exact details of their computation. For the purposes of illustration, I am going to estimate different standard errors from a basic linear regression model: , using the

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Next R meeting in Paris INSEE: ggplot2 and parallel computing

June 12, 2012
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Next R meeting in Paris INSEE: ggplot2 and parallel computing

Hi, our group of R users from INSEE, aka FLR, meets monthly in Paris. Next meeting is on Wed 13 (tomorrow), 1-2 pm, room 539 (an ID is needed to come in,  map to access INSEE R), about ggplot2 and parallel computing. Since the first meeting in February, presentations have included hot topics like webscrapping, C in R, RStudio, SQLite

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Quickly use googleVis in web reports using Tiki and PluginR

June 12, 2012
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Quickly use googleVis in web reports using Tiki and PluginR

R is hot and amazing. Tiki is too And with PluginR, we can easily place in simple or advanced web reports any R code, in a similar fashin to what can be achieved with other longer combinations (Sweave, Knitr, ... and latex). For instance, I tried a few days ago to quickly...

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\verbatim [beamer package]

June 11, 2012
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\verbatim [beamer package]

Once again working on my slides for the AMSI Lecture 2012 tour, it took me a while to get the following LaTeX code (about the family reunion puzzle) to work: \begin{frame} \slidetitle{A family meeting} \begin{block}{Random switch of couples} \only<1>{ \begin{itemize} \item Pick two couples at random with probabilities proportional to the

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