- R 3.1.0 (codename “Spring Dance“) is released this week!
- Do you invest in the stock market? If so, you may know the so-called 60/40 rule (invest 40% in bonds and 60% in stocks). But do you really believe this strategy? Eran Raviv performs some simulation studies and tries to verify whether the 60/40 rule is a wise choice or simply a myth.
- Popular R articles of the week: “Pretty” table columns and Calculating confidence intervals for proportions by Alan Haynes (Insights of a PhD student), Interpreting interaction coefficient in R by Lionel H. (biologyforfun) and Extract CSV data from PDF files with Tabula by Nathan Yau (Flowingdata).
- And finally, the most loyal fans in the NBA are…

- To give this year’s April Fools’ day a more analytical touch, here are The 7 Funniest Data Cartoons.
- Xi’an discusses a new paper by Scott Schmidler and his Ph.D. student Douglas VanDerwerken called Parallel MCMC.
- Tim Harford of Financial Times shares his thoughts on Big Data in an article called Big data: are we making a big mistake?
- David Springate publishes three very useful R articles this week: Develop in RStudio, run in RScript, Functional programming in R, and Two R tutorials for beginners.
- And finally, Revolution Analytics summarizes some recent news and reports on how the rise of the “R” computer language brings open source to science.

- Are you a fan of Wes Anderson? Revoluntion Analytics shares some ideas on how you can bring his style to your own R charts, by making use of these Wes Anderson inspired palettes.
- Given 3 random variables X, Y and Z with known distributions, can you calculate cov(X, Y) from cov(X, Z) and cov(Y, Z)?
- Some useful R tips this week are: Filtering Data with L1 Regularisation, quickly calculating summary statistics from a data frame, A Simple Introduction to the Graphing Philosophy of ggplot2, and Visualizing principal components with R and Sochi Olympic Athletes.
- Xi’an reviews
*Bayesian Data Analysis*by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Don Rubin. - And finally, Nathan Yau of FlowingData presents some visuals from a study on smoking prevalence from 1996 to 2012, and concludes that smoking rate is inversely proportional to income level.

- R 3.0.3 is release (with installation and upgrading instructions and a list of updates, bug fixes and changes).
- Suppose a company has 5 servers, and there is a 1% chance that each server will be down. What is the probability that at least 3 servers are down?
- Mikio L. Braun, a PostDoc in machine learning at TU Berlin and co-founder and chief data scientist at streamdrill, discusses the difficulties of data analysis.
- Xi’an comments on a new paper by his PhD student called Approximate Integrated Likelihood via ABC methods.
- How people really read and share online.
- Joseph Rickert of Revolution Analytics publishes his R “meta” book, a collection of 14 books (all available online for free) that covers useful topics including basic probability and statistics, regressions, experimental design, survival analysis, times series analysis and forecasting, machine learning, bioinformatics, structural equation models and credit scoring.
- And finally, Flavio Barros compiles a list of MOOC courses on R.

- A historian, a data scientist, a programmer, a mathematician, and a philosopher discuss the question
*How likely it is that a lottery draw (6 out of 49) contains two consecutive numbers.* - Suppose that A, B, and C are uniformly distributed on [0, 1], what is the probability that the equation has real root(s)?
- Dimiter Toshkov of
*Rules of Reason*presents Predicting movie ratings with IMDb data and R and suggests a different way of awarding the Academy Awards based on statistics. - Visualized related articles are always liked by our readers. This week, we have: Plotting an Odd number of plots in single image, Beautiful table outputs in R, Visualizations on the Monopoly board, and Basketball movements visualized.
- Xi’an reviews
*Bayesian Programming*by Pierre Bessière, Emmanuel Mazer, Juan-Manuel Ahuactzin, and Kamel Mekhnacha. - Ever wonder how popular your favorite R functions are? Check out the Function Counter for R.
- And finally, Rasmus Bååth shares easy ways to create matrices in R.

- Like almost every week, R articles attract lots of attention from readers. This week, we have: Quick and dirty notes on General Linear Mix Models, How to Make a Bad Password with R, rMaps and the Mexico map, How to Read Histograms and Use Them in R, Useful Functions in R for Manipulating Text Data, and Simply creating various scatter plots with ggplot.
- r4stats.com publishes a detailed report on various ways of measuring the popularity or market shares of approximately 30 software packages for analytics, including well-known names such as R, Matlab, SAS, SPSS, Stata, Python.
- Quintuitive discusses his experience and thoughts after using RStudio for one year.
- Xi’an reviews two new books this week, the first one is called Nonlinear Time Series by Randal Douc, Éric Moulines and David Stoffer, and the second is called Foundations of Statistical Algorithms by Claus Weihs, Olav Mersman and Uwe Ligges.
- If you are an active stock investor, you should consider Using CART for Stock Market Forecasting.
- And finally, Nathan Yau of FlowingData explains the statistical reasoning behind why you should buy the bigger pizza.

- Professor Roger Peng of the Johns Hopkins Bloomberg School of Public Health discusses the meaning of Reproducible Analysis, why it is important, and how to ensure that your R analysis is reproducible.
- A recent survey by Revolution Analytics show that R language skills attract median salaries in excess of $110,000 in the United States.
- Last week, many helpful R articles attracted attention from readers. A million ways to connect R and Excel, efficiency of Importing Large CSV Files in R, R framework with Object-Oriented Programming, ggplot Fit Line and Lattice Fit Line in R, and Interactive maps with R.
- Big Data is a popular term that everyone in almost every field discusses, however, Stephen Turner, assistant professor of public health sciences and director of the Bioinformatics Core at the University of Virginia, argues that There is no Such Thing as Biomedical “Big Data”.
- Welcome to the age of Databall – the rise of analytics usage in the NBA.
- And finally, suppose that you pick a random interger from 0 to 1000. Given that this integer is divisible by 4, what is the probability that it is also divisible by 3?

- The latest survey conducted by RedMonk shows that R is 15th of top programming languages.
- Simplex Regression (a technique that minimizes the absolute error of residuals rather than squared error) is an alternative to traditional least squares because it is resistant to outliers in the data, and helpful in studies where outliers may be safely and effectively ignored. This week, WenSui (文穗) teaches how to fit simplex regressions in R.
- Does sexual activity change with age?
- Eran Raviv continues the R vs. Matlab comparison. This week, R wins the second round and we are tied at 1-1.
- A brief review of R Studio and “Advanced R Development”
- And finally, Joseph Rickert of Revolution Analytics presents a tutorial on analyzing weather data using his new R package weatherData.