7 new R jobs (for June 30th 2014)

June 30, 2014
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r_jobs

This is the bimonthly R Jobs post (for 2014-06-30), based on the R-bloggers’ sister website: R-users.com. If you are an employer who is looking to hire people from the R community, please visit this link to post a new R job (it’s free, and registration takes less than 10 seconds). If you are a job seekers, please follow the links below to learn more and apply for your job of interest (or visit previous...

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Shiny cheat sheet

June 30, 2014
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Shiny cheat sheet

Shiny v0.10 comes with a quick, handy guide. Use the Shiny cheat sheet as a quick reference for building Shiny apps. The cheat sheet will guide you from structuring your app, to writing a reactive foundation with server.R, to laying out and deploying your app.     You can find the Shiny cheat sheet along with

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Example 2014.8: Estimate power for an interaction, by simulation

June 30, 2014
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Example 2014.8: Estimate power for an interaction, by simulation

In our last entry, we demonstrated how to simulate data from a logistic regression with an interaction between a dichotomous and a continuous covariate. In this entry we show how to use the simulation to estimate the power to detect that interaction. ...

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R/Finance 2014 Review

June 30, 2014
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It's been more than a month since R/Finance 2014, and my job has finally slowed down enough to allow me to write down my thoughts (though I'm writing this over two days during my train to and from Chicago).The comments below are based on my personal ex...

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Submissions in the DataVis contest at useR!2014

June 30, 2014
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Wonder how submissions to the DataVis contest at useR!2014 (see contest webpage) look like? There are 8 submissions in the track 1 (schools matter) and 10 submissions in the track 2 (inequalities in academic achievement). You can see all submissions (w...

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Presentations of the seventh Torino R net meeting – 27 Mar 2014

June 30, 2014
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Presentations of the seventh Torino R net meeting – 27 Mar 2014

welcome and presentation (download 0,1MB), Torino R net organisers; Processing and analysis methods for DNA methylation array data (download 1,4 MB), Giovanni Fiorito, Complex Systems for Life Sciences, University of Turin; Temporal Dominance of Sensations (TDS) data analysis using R (download 4,8 MB), Silvia … Continue reading →

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R/Rmetrics in Paris [alas!]

June 29, 2014
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R/Rmetrics in Paris [alas!]

Today I gave a talk on Bayesian model choice in a fabulous 13th Century former monastery in the Latin Quarter of Paris… It is the Collège des Bernardins, close to Jussieu and Collège de France, unbelievably hidden to the point I was not aware of its existence despite having studied and worked in Jussieu since

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The TaoTeProgramming R package

June 29, 2014
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The TaoTeProgramming R package

I’d like to do a song of great social and political import. The code that created the illustrations in Tao Te Programming is now available as the TaoTeProgramming package on CRAN. The sea is just flat hills And they are both just smooth mountains. The package contains just over 1000 lines of code.  More than The post

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stone flakes IV

June 29, 2014
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stone flakes IV

In this post I want to try something new, a causal graphical model. The aim here is just as much to get myself a feel what these things do as to understand how the stone flakes data fit together. DataData are stone flakes data which I analyzed previous...

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Simple script from setting up R, Git, and Jags on Amazon EC2 Ubuntu Instance

June 28, 2014
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Just wanted to put up the script I've been using to create an Amazon EC2 Ubuntu instance for running RStudio, Git, and Jags. There isn't anything really new in here, but it it has been serving me well. The script begins after the basic instance has bee...

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R Blog Readers Survey

June 28, 2014
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I've almost achieved my goal of a minimum of 100 quality responses.  I will keep the survey open for a couple more days, so if you haven't responded, please feel free to have a crack at it.Regards,Coryhttps://www.surveymonkey.com/s/7DY8DYH

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Lively R

June 27, 2014
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Next week, the UseR conference comes to UCLA.  And in anticipation, I thought a little foreshadowing would be nice.  Amelia McNamara, UCLA Stats grad student and rising stats ed star, shared with me a new tool that has the potential … Continue reading →

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Scraping Fantasy Football Projections from the Web

June 27, 2014
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Scraping Fantasy Football Projections from the Web

In this post, I show how to download fantasy football projections from the web using R.  In prior posts, I showed how to scrape projections from ESPN, CBS, NFL.com, and The post Scraping Fantasy Football Projections from the Web appeared first on Fantasy Football Analytics.

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FRAMA Part II: Replicating A Simple Strategy

June 27, 2014
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FRAMA Part II: Replicating A Simple Strategy

This post will begin the investigation into FRAMA strategies, with the aim of ultimately finding a FRAMA trading strategy with … Continue reading →

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Multivariate Data Analysis and Visualization Through Network Mapping

June 27, 2014
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Multivariate Data Analysis and  Visualization Through Network Mapping

Recently I had the pleasure of speaking about one of my favorite topics, Network Mapping. This is a continuation of a general theme I’ve previously discussed and involves the merger of statistical and multivariate data analysis results with a network. Over the past year I’ve been working on two major tools, DeviumWeb and MetaMapR, which

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Squeezing more speed from R for nothing, Rcpp style

Squeezing more speed from R for nothing, Rcpp style

In a previous post we explored how you can greatly speed up certain types of long-running computations in R by parallelizing your code using multicore package*. I also mentioned that there were a few other ways to speed up R code; the one I will be exploring in this post is using Rcpp to replace »more

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Comment of the week

June 27, 2014
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This one, from DominikM: Really great, the simple random intercept – random slope mixed model I did yesterday now runs at least an order of magnitude faster after installing RStan 2.3 this morning. You are doing an awesome job, thanks a lot! The post Comment of the week appeared first on Statistical Modeling, Causal Inference, and...

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How data-driven companies use R to compete

June 27, 2014
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The editors at DataInformed invited me to write an article about how R is used in business, and I was pleased to oblige. The article, How Companies use R to Compete in a Data-Driven World, is now live and describes how Facebook, The New York Times, X+1, ANZ Bank and many others successfully use R to analyze their data....

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The future of R on the web at #user2014

June 27, 2014
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The future of R on the web at #user2014

The schedule and abstracts for useR! 2014 have been posted on the conference website. Session 2 (tuesday 1pm) of the Kaleidoscope track will feature a fantastic set of talks about R and the web, including RCloud (Gordon Woodhull, AT&T), Ope...

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Bayesian First Aid: Test of Proportions

June 26, 2014
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Bayesian First Aid: Test of Proportions

Does pill A or pill B save the most lives? Which web design results in the most clicks? Which in vitro fertilization technique results in the largest number of happy babies? A lot of questions out there involves estimating the proportion or relative frequency of success of two or more groups (where success could be a saved life, a...

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(Py, R, Cmd) Stan 2.3 Released

June 26, 2014
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We’re happy to announce RStan, PyStan and CmdStan 2.3. Instructions on how to install at: http://mc-stan.org/ As always, let us know if you’re having problems or have comments or suggestions. We’re hoping to roll out the next release a bit quicker this time, because we have lots of good new features that are almost ready The post

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Updates to R package raincpc: Global Daily Rainfall for over 35 years

June 26, 2014
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Updates to R package raincpc: Global Daily Rainfall for over 35 years

The Climate Prediction Center's  (CPC) global rainfall data, 1979 - present, 50 km resolution, is one of the few high-quality, long-term, observation-based, daily rainfall products available for free. Although raw data is available at&nb...

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Review of Applied Predictive Modeling by Kuhn and Johnson

June 26, 2014
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Review of Applied Predictive Modeling by Kuhn and Johnson

by Joseph Rickert Predictive Modeling or “Predictive Analytics”, the term that appears to be gaining traction in the business world, is driving the new “Big Data” information economy. Predictably, there is no shortage of material to be found on this subject. Some discussion of predictive modeling is sure to be found in any reasonably technical presentation of business decision...

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Maybe I Don’t Really Know R After All

June 26, 2014
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Maybe I Don’t Really Know R After All

Lately, I’ve been feeling that I’m spreading myself too thin in terms of programming languages. At work, I spend most of my time in Hive/SQL, with the occasional Python for my smaller data. I really prefer Julia, but I’m alone at work on that one. And since I maintain a package on CRAN (RSiteCatalyst), I frequently spend Related posts:

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Jun 26-27, 2014 – Introduction to Data Science with R in NYC

June 26, 2014
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Jun 26-27, 2014 – Introduction to Data Science with R in NYC

You can either register from eventbrite or our school site NYC Data Science Academy. Date: Thursday/Friday , June 26th and 27th, 2014 Time:  9:00am to 5:00pm Location: 500 7th Ave, 17th Floor, glass door classroom, New York, NY 10018 NYC Data Science Academy, training subbrand of SupStat (Official Training partner with RStudio Inc) is hosting our... Read more »

Tailoring univariate probability distributions

June 26, 2014
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Tailoring univariate probability distributions

This post shows how to build a custom univariate distribution in R from scratch, so that you end up with the essential functions: a probability density function, cumulative distribution function, quantile function and random number generator. In the beginning all you need is an equation of the probability density function, … Continue reading →

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Be Careful with Using Model Design in R

June 25, 2014
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Be Careful with Using Model Design in R

In R, useful functions for making design matrices are model.frame and model.matrix. I will to discuss some of the differences of behavior across and within the two functions. I also have an example where I have run into this problme and it caused me to lose time. Using model.frame for a design matrix Whenever I

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A Simple Shiny App for Monitoring Trading Strategies

June 25, 2014
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A Simple Shiny App for Monitoring Trading Strategies

In a previous post I showed how to use  R, Knitr and LaTeX to build a template strategy report. This post goes a step further by making  the analysis  interactive. Besides the interactivity, the Shiny App also solves two problems : I can now access all my trading strategies from a single point regardless of the instrument traded.

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Boolean 3 (finally) on CRAN

June 25, 2014
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I have finally managed to get boolean3 accepted to CRAN. You can find it here: boolean3 on CRAN. To summarize: boolean3 provides a means of estimating partial-observability binary response models following boolean logic. boolean3 was developed by Jason W. Morgan under the … Continue reading →

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