January 2019

Statistical metamerism

January 2, 2019 | Code R

Summary The metamer package implements Matejka and Fitzmaurice (2017) algorithm for generating datasets with distinct appearance but identical statistical properties. I propose to call them “metamers” as an analogy with the colorimetry concept. Metamers in vision This is not a prism separating white light into its component wavelengths. It is an ...
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Icon making with ggplot2 and magick

January 2, 2019 | R on YIHAN WU

Icon noun A person or thing regarded as a representative symbol or as worthy of veneration. A symbol or graphic representation on a screen of a program, option, or window. from Oxford English Dictionaries Fontawesome and the noun project along with other icon provides produce and distribute beautiful icons for ...
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My R Take in Advent of Code – Day 5

January 2, 2019 | r-tastic

There’s no time to lose, so here comes another Advent of Code puzzle solved using R. Day 5 challenge, here we come! What are we expected to do? The polymer is formed by smaller units which, when triggered, react with each other such that two adjacent units of the same ... [Read more...]

Office for Students report on “grade inflation”

January 2, 2019 | David Firth

A journalist asked me to look at a recent report, Analysis of degree classifications over time: Changes in graduate attainment.  The report was published by the UK government’s Office for Students (OfS) on 19 December 2018, along with a headline-grabbing press release: The report uses a statistical method — the widely used ...
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Dataviz Course Packet Quickstart

January 2, 2019 | R on kieranhealy.org

Chapter 2 of Data Visualization walks you through setting up an R Project, and takes advantage of R Studio’s support for RMarkdown templates. That is, once you’ve created your project in R Studio, can choose File __ New File __ R Markdown, like this: Select R Markdown … And then choose “From ... [Read more...]

SQL for Data Science – Part 2

January 1, 2019 | Rsquared Academy Blog

Introduction This is the fourth post in the series R & Databases. You can find the links to the other two posts of this series below: Quick Guide: R & SQLite Data Wrangling with dbplyr SQL for Data Science - Part 1 In this post, we will learn to aggregate data order data ... [Read more...]

Strava rides map in R

January 1, 2019 | Blog - BS

This is a Christmas present to myself to celebrate 10,000km of commuting on my bicycle: a lovely frame print of all my GPS traces on a home-made map of London. Here's how I made it. This blog was contributed to R Bloggers Step one: getting Strava data The process has ...
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My R Take on Advent of Code – Day 4

January 1, 2019 | r-tastic

After some wonderful Christmas and New Year’s distractions, now it’s time to continue with my Advent of Code challenges in R (before the summer comes…). To avoid waffling, the 4th puzzle offers a record of guards’ shifts with various activities plus the time they started and time. We ... [Read more...]

2018 R Views Review and Highlights

January 1, 2019 | R Views

2018 was a good year for R Views. With a total of sixty-three posts for the year, we exceeded the pace of at least one post per week. But, it wasn’t quantity we were shooting for. Our main goal was, and continues to be, featuring thoughtful commentary on topics of ... [Read more...]

Entering and Exiting 2018

January 1, 2019 | Data Imaginist

The year is nearly over and it is the time for reflection and navel-gazing. I don’t have incredibly profound things to say, but a lot of things happened in 2018 and this is as good a time as any to go through it all… Picking Myself Up The prospect... [Read more...]

Considering sensitivity to unmeasured confounding: part 1

January 1, 2019 | Keith Goldfeld

Principled causal inference methods can be used to compare the effects of different exposures or treatments we have observed in non-experimental settings. These methods, which include matching (with or without propensity scores), inverse probability weighting, and various g-methods, help us create comparable groups to simulate a randomized experiment. All of ...
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