July 2016

2016-10 A transformable markup document format

July 28, 2016 | pmur002

Many technologies now exist for writing a document in a format that can be transformed into various output formats for sharing. This report proposes that using markup, rather than one of the Markdown languages, is a good fit for writing flexible human- and machine-readable transformable documents. We propose a transformable ... [Read more...]

2016-10 A transformable markup document format

July 28, 2016 | pmur002

Many technologies now exist for writing a document in a format that can be transformed into various output formats for sharing. This report proposes that using markup, rather than one of the Markdown languages, is a good fit for writing … Continue reading → [Read more...]

Tracking Precipitation by Day-of-Year

July 28, 2016 | Kelly

Plotting cumulative day-of-year precipitation can helpful in assessing how the current year’s rainfall compares with long term averages. This plot shows the cumulative rainfall by day-of-year for Philadelphia International Airports rain gauge. The source data was downloaded from the Pa … Continue reading →
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An R Users Guide to JSM 2016

July 28, 2016 | Joseph Rickert

by Joseph Rickert My impression is that the JSM has become ever more R friendly over recent years, but with two sessions organized around R tools and several talks featuring R packages, this year may turn out to be the beginning of a new era where conference organizers see value ... [Read more...]

Building a Life Table

July 28, 2016 | Andrew Collier

After writing my previous post, Mortality by Year and Age, I’ve become progressively more interested in the mortality data. Perhaps those actuaries are onto something? I found this report, which has a wealth of pertinent information. On p. 13 the report gives details on constructing a Life Table, which is ... [Read more...]

Multiplication (and R data types)

July 28, 2016 | wszafranski

This is a basic post about multiplication operations in R. We’re considering element-wise multiplication versus matrix multiplication. First let’s make some data: # Make some data a = c(1,2,3) b = c(2,4,6) c = cbind(a,b) x = c(2,2,2) If we look at the output (c and x), we can see that ... [Read more...]

Correlation network_plot() with corrr

July 28, 2016 | Simon Jackson

Looking for patterns or clusters in your correlation matrix? Spot them quickly using network_plot() in the latest development version of the corrr package! # Install the development version of corrr install.packages("devtools") devtools::install_github("drsimonj/corrr") library(corrr) airquality %__% correlate() %__% network_plot(min_cor = .1) From this, we can ...
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Bayesian Essentials with R [book review]

July 27, 2016 | xi'an

[A review of Bayesian Essentials that appeared in Technometrics two weeks ago, with the first author being rechristened Jean-Michael!] “Overall this book is a very helpful and useful introduction to Bayesian methods of data analysis. I found the use of R, the code in the book, and the companion R ...
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Data Journalism with R at FiveThirtyEight

July 27, 2016 | David Smith

Since it expanded its focus from predicting the US election, FiveThirtyEight has emerged as a prominent source of in-depth data journalism, with data-driven analysis of media, culture, politics and society. A recent feature combined CDC and independent data sources to break down the nearly 34,000 gun deaths in the US in 2014 ... [Read more...]

Book Review: Getting Started With Data Science

July 27, 2016 | Murtaza Haider

I PROGRAMMER's Kay Ewbank's reviews Getting Started with Data Science: Making Sense of Data with Analytics.By Kay EwbankIf you've enjoyed books such as Freakonomics or Outliers, you'll feel at home reading this book as it uses a similar approach; take an interesting question such as 'Does the higher price ... [Read more...]

Book Review: Getting Started With Data Science

July 27, 2016 | Murtaza Haider

I PROGRAMMER's Kay Ewbank's reviews Getting Started with Data Science: Making Sense of Data with Analytics.By Kay EwbankIf you've enjoyed books such as Freakonomics or Outliers, you'll feel at home reading this book as it uses a similar approach; take an interesting question such as 'Does the higher price ... [Read more...]

Data Science Competitions 101: Anatomy and Approach

July 27, 2016 | Analytical Monk

I recently participated in a weekend-long data science hackathon, titled ‘The Smart Recruits’. Organized by the amazing folks at Analytics Vidhya, it saw some serious competition. Although my performance can be classified as decent at best (47 out of 379 participants), it was among the more satisfying ones I have participated in ...
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