1028 search results for "latex"

Validating email adresses in R

July 5, 2012
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I currently program an automated report generation in R – participants fill out a questionnaire, and they receive a nicely formatted pdf with their personality profile. I use knitr, LaTex, and the sendmailR package. Some participants did not provide valid email addresses, which caused the sendmail function to crash. Therefore I wanted some validation of

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Rchievement of the day #3: Bloggin’ from R

July 1, 2012
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Rchievement of the day #3: Bloggin’ from R

I have become a complete knitr addict of late and have been using it in combination with RStudio’s R markdown support on a regular basis. In fact I wrote this post using it! It then dawned on me how great it would be if I … Continue reading →

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reproducible documents/analytics in R: the knitr package

June 26, 2012
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reproducible documents/analytics in R: the knitr package

When I am working in new institutions and I am asking: “Do you have a document management system?” I often get the answer:”Yap, we are using folders” … OKAY. Making analysis, developing applications and keeping an eye on code, data and applications make this even harder as it has to be. Of course not many

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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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