Monthly Archives: April 2019

Tips to Reduce the Complexity of Slide Making with Xaringan

April 28, 2019
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Although I’m a strong believer in R Markdown, I’m not so sure about it in the realm of slide making. After using GUI slide making tools such as Powerpoint or Google Slides for years, it is not easy to get used to making slides with markdown, since it requires additional processing in the brain – the conversion between images...

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The Mrs. White probability puzzle

April 28, 2019
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The Mrs. White probability puzzle

tl;dr -I don’t remember how many games of Clue I’ve played but I do remember being surprised by Mrs White being the murderer in only 2 of those games. Can you give an estimate and an upper bound for the number of games I have played?We solve this problem by using Bayes theorem and discussing … Continue reading The...

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Test your tidyness – a short quiz to check your tidyverse capabilities

Test your tidyness – a short quiz to check your tidyverse capabilities

Over the last month I gave a tidyverse + intro to data science corporate training in a startup in Tel-Aviv. We had two groups (beginners and intermediates), and for the last assignment of the course I was aiming for a short quiz comprised of various topics which we covered during the course, such that can also be automated easily...

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Bayes vs. the Invaders! Part Four: Convergence

April 28, 2019
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Bayes vs. the Invaders! Part Four: Convergence

Sealed and Buried In the previous three posts in our series delving into the cosmic horror of UFO sightings in the US, we have descended from the deceptively warm and sunlit waters of basic linear regression, through the increasingly frigid, stygian depths of Bayesian inference, generalised linear models, and the...

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Parsing and Visualizing Transcriptomics Data in Shiny

April 27, 2019
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Parsing and Visualizing Transcriptomics Data in Shiny

Introduction The genome represents the history book and instruction set of all organisms on Earth. Over the last century, genetic analysis has provided deep insight into the underpinnings of biological processes and the molecular etiology of disease. A crucial principle to understanding how genes function is that defects can arise due to mutation of the

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Teaching Factory Physics Flow Benchmarking with R and Many-Objective Visuals

Teaching Factory Physics Flow Benchmarking with R and Many-Objective Visuals

Teaching to seasoned managers in MBE classes is challenging. While it’s important to bring new thoughts and ideas and not sound repetitive, it is necessary to provide a theoretical basis for experienced people with diverse backgrounds. One of the strategies I found to overcome these obstacles this week was to use a new analysis framework (in my case, Factory...

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Fast food, causality and R packages, part 1

Fast food, causality and R packages, part 1

I am currently working on a package for the R programming language; its initial goal was to simply distribute the data used in the Card and Krueger 1994 paper that you can read here (PDF warning). The gist of the paper is to try to answer the following question: Do increases in minimum wages reduce employment? According to Card and Krueger’s paper from...

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11,264 Regressions in One Tidy Plot

11,264 Regressions in One Tidy Plot

Following up on a recent blog article that discussed how to use R to explore your researcher degrees of freedom, this post introduces a specification curve plot as suggested in Simonsohn, Simmons and Nelson. With this plot, you can eyeball how various researcher degrees of freedom affect your main outcome of interest. In a recent post, I introduced my in-development...

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Le Monde puzzle [#1099]

April 27, 2019
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Le Monde puzzle [#1099]

A simple 2×2 Le Monde mathematical puzzle: Arielle and Brandwein play a game out of two distinct even integers between 1500 and 2500,  and y. Providing one another with either the pair (x/2,y+x/2) or the pair (x+y/2,y/2) until they run out of even possibilities or exceed 6 rounds. When x=2304, what is the value of

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Earthquake Analysis (1/4): Quantitative Variables Exploratory Analysis

April 27, 2019
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Earthquake Analysis (1/4): Quantitative Variables Exploratory Analysis

CategoriesBasic Statistics Tags Data Management Data Visualisation Exploratory Analysis Import Data R Programming In this post series, we are going to introduce the exploratory analysis of a dataset as available at ref. reporting earthquakes and similar events occurring within a specific time window. We will run a basic exploratory analysis, showing some of the main principles and tools on that matter. Then, we will show...

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