Blog Archives

Presidential Election Predictions 2016 (an ASA competition)

August 25, 2016
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Guest post by Jo Hardin ASA’s Prediction Competition In this election year, the American Statistical Association (ASA) has put together a competition for students to predict the exact percentages for the winner of the 2016 presidential election. They are offering cash prizes for the entry that gets closest to the national vote percentage and that best … Continue...

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The reproducibility crisis in science and prospects for R

July 26, 2016
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Guest post by Gregorio Santori (<[email protected]>) The results that emerged from a recent Nature‘s survey confirm as, for many researchers, we are living in a weak reproducibility age (Baker M. Is there a reproducibility crisis? Nature 2016;533:453-454). Although the definition of reproducibility can vary widely between disciplines, in this survey was adopted the version for … Continue...

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Using 2D Contour Plots within {ggplot2} to Visualize Relationships between Three Variables

July 24, 2016
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Using 2D Contour Plots within {ggplot2} to Visualize Relationships between Three Variables

Guest post by John Bellettiere, Vincent Berardi, Santiago Estrada The Goal To visually explore relations between two related variables and an outcome using contour plots. We use the contour function in Base R to produce contour plots that are well-suited for initial investigations into three dimensional data. We then develop visualizations using ggplot2 to gain … Continue...

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R 3.3.1 is released

June 22, 2016
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R 3.3.1 is released

R 3.3.1 (codename “Bug in Your Hair”) was released yesterday You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of bug fixes is provided below new features and (this release does not introduce new features). Upgrading to R 3.3.1 on Windows If you are using Windows you can easily upgrade to the latest … Continue reading...

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heatmaply: interactive heat maps (with R)

May 31, 2016
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I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on the plotly R package. tl;dr By running the following 3 lines of code: install.packages("heatmaply") library(heatmaply) heatmaply(mtcars, k_col = 2, k_row = 3) %&gt;% layout(margin = list(l = 130, b = 40)) You will get this output in your browser … Continue reading...

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R 3.3.0 is released!

May 3, 2016
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R 3.3.0 is released!

R 3.3.0 (codename “Supposedly Educational”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.3.0 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr package. … Continue reading...

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Election tRends: An interactive US election tracker (using Shiny and Plotly)

March 29, 2016
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Guest post by Jonathan Sidi Introduction The US primaries are coming on fast with almost 120 days left until the conventions. After building a shinyapp for the Israeli Elections I decided to update features in the app tried out plotly in the shiny framework. As a casual voter trying to gauge the true temperature of … Continue reading...

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R 3.2.4 is released

March 11, 2016
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R 3.2.4 is released

R 3.2.4 (codename “Very Secure Dishes”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.4 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr … Continue reading...

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It’s not the p-values’ fault – reflections on the recent ASA statement (+relevant R resources)

March 10, 2016
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It’s not the p-values’ fault – reflections on the recent ASA statement (+relevant R resources)

Joint post by Yoav Benjamini and Tal Galili. The post highlights points raised by Yoav in his official response to the ASA statement (available as on page 4 in the ASA supplemental tab), as well as offers a list of relevant R resources. Summary The ASA statement about the misuses of the p-value singles it out. It is just … Continue reading...

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50 years of Data Science – by David Donoho

January 5, 2016
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David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. You can download the full paper from here.  The paper got quite the attention on Hacker News, Data Science Central, Simply Stats, Xi’an’s blog, srown ion medium, and probably others. Share your thoughts in the … Continue reading...

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