1247 search results for "tutorial"

In case you missed it: December 2012 Roundup

January 17, 2013
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In case you missed them, here are some articles from December of particular interest to R users. The blog is.R ran an excellent series of R tips and applications in December, with posts including working with Stata files, working with graphs and networks, and text analysis. Kohske Takahashi provides R scripts to create a collection of optical illusions. Highlights...

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Restricted Boltzmann Machines in R

January 14, 2013
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Restricted Boltzmann Machines in R

Restricted Boltzmann Machines (RBMs) are an unsupervised learning method (like principal components). An RBM is a probabilistic and undirected graphical model. They are becoming more popular in machine learning due to recent success in training them with contrastive divergence. They have been proven useful in collaborative filtering, being one of the most successful methods...

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Shiny = Happy People

January 11, 2013
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The people behind the wonderful RStudio, which I gushed about in a previous post, have developed a new package, Shiny, that makes it easy to develop interactive web applications with R. Shiny is not the first package to facilitate building web apps with R (see here for comparison of Shiny and gWidgetsWWW2.rapache), but it is

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DC R Meetup: “Analyze US Government Survey Data with R”

January 10, 2013
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DC R Meetup: “Analyze US Government Survey Data with R”

I really enjoyed tonight’s DC R Meetup, presented by the prolific Anthony Damico. I’ve met Anthony before to discuss whether the Census Bureau could either… publish R-readable … Continue reading →

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My Personal Intro to F1 Race Statistics

January 10, 2013
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My Personal Intro to F1 Race Statistics

One of the many things I keep avoiding is statistics. I’ve never really been convinced about the 5% significance level thing; as far as I can tell, hardly anything that’s interesting normally distributes; all the counting that’s involved just confuses me; and I never really got to grips with confidently combining probabilities. I find a

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R for actuarial science

January 10, 2013
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R for actuarial science

As mentioned in the Appendix of Modern Actuarial Risk Theory, “R (and S) is the ‘lingua franca’ of data analysis and statistical computing, used in academia, climate research, computer science, bioinformatics, pharmaceutical industry, customer analytics, data mining, finance and by some insurers. Apart from being stable, fast, always up-to-date and very versatile, the chief advantage of R is that...

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Don’t R alone! A guide to tools for collaboration with R

January 7, 2013
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Don’t R alone! A guide to tools for collaboration with R

This a brief guide to using R in collaborative, social ways. R is a powerful open-source programming language for data analysis, statistics, and visualization, but much of its power derives from a large, engaged community of users. This is an introduction to tools for engaging the community to improve your R code and collaborate with others. (Am I...

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analyze the medical expenditure panel survey (meps) with r

January 7, 2013
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the meps household component leads the pack for examining individual-level medical expenditures by payor and type of service.  total expenditures captured by the survey tend to be low, but unbiased across the board and can be adjusted to match the...

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Infinite generators in R

January 5, 2013
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Infinite generators in R

This is first in a series of posts about creating simulations in R. As a foundational discussion, I first look …Continue reading »

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(Semi-)automating the R markdown to blogger workflow

January 2, 2013
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In his recent post 100 most read R posts for 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages Tal Galili - the guy behind R-Bloggers - presents his wishlist for 2013. Among other things he states &ldquo...

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