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...
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...
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
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...
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...
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...
![Le Monde puzzle [#1099]](https://xianblog.files.wordpress.com/2015/10/lemondapari.jpeg?w=275&h=183&zoom=2)
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
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...
You might be wondering what motivates me spending countless weekend hours on the MOB package. The answer is plain and simple. It is users that are driving the development work. After I published the wts_bin() function last week showing the impact of two-value weights on the monotonic binning outcome (https://statcompute.wordpress.com/2019/04/21/binning-with-weights), a question was asked if
I’ve mentioned {htmlunit} in passing before, but did not put any code in the blog post. Since I just updated {htmlunitjars} to the latest and greatest version, now might be a good time to do a quick demo of it. The {htmlunit}/{htmunitjars} packages make the functionality of the HtmlUnit Java libray available to R. The... Continue reading →
