How Goals-Based Investing Actually Works: A Case Study
The code supplement to a case study in goals-based investing published with CityWire. [Read more...]
2023
Simplifying List Filtering in R with purrr’s keep()
Introduction
The {purrr} package in R is a powerful tool for working with lists and other data structures. One particularly useful function in the package is keep(), which allows you to filter a list by keeping only the elements that meet certai... [Read more...]
Deep learning–based automated measurements of the scrotal circumference of Norwegian Red bulls from 3D images
Working on Computer Vision tasks is always exciting for me. During my carrier I was working with many different types of images and was solving many different problems related to them in the fields of biology, medicine, genetics, climatology and many m... [Read more...]
Main issues when switching from R to Python and vice versa
[This article was first published on neonira’s blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]
Fast Romano-Wolf Multiple Testing Corrections for fixest 🐺
For the final chapter of my dissertation, I had examined the effects of ordinal class rank on the academic achievement of Danish primary school students (following a popular identification strategy introduced in a paper by Murphy and Weinhard). Because of the richness of the Danish register data, I had a ...
Events at Jumping Rivers
At Jumping Rivers we’re all about getting involved in the R community! As such, we host multiple events throughout the year. Read on for information about what we have planned so far for 202...
Star Map with R
A couple of weeks ago I was doing my daily check on
StackOverflow when I found a
question by Benjamin Smith that blew my
mind: Creating Star Map Visualizations Based on Location and
Date
!!
Making Non Stationary Data Stationary
Introduction
In the most basic sense for time series, a series is stationary if the properties of the generating process (the process that generates the data) do not change over time, the process remains constant. This does not mean the data doe...
Shiny Monster Maze
Shiny version for mobile
The eerie wails, the apparitions and other supernatural manifestations are an unlimited source for entertainment.
I could not just keep Monster Maze for myself and deprive you of such a joyful game. So I...
Finding Economic Articles with Data und Stata Reproductions
If you’re looking for reproducible empirical economic studies, check out my Shiny-powered search app at
https://ejd.econ.mathematik.uni-ulm.de
(Recently the server was sometimes off-line, but most of the time you can use it.)
Most empirical analyses in economics are performed with Stata, but it is a ... [Read more...]
ADF and Phillips-Perron Tests for Stationarity using lists
Introduction
A time series is a set of data points collected at regular intervals of time. Sometimes, the data points in a time series change over time in a predictable way. This is called a stationary time series. Other times, the data points c... [Read more...]
WWI VieweR, A shiny app to visualize the battles of the first world war
wwi_viewer
WWI VieweR
Hi everyone ! Long time no see. I recently undertook to validate the
capstone project of the Data
Visualization specialization of the Johns Hopkins University on
Coursera, with something that was probably a slight overkill f...
A testing pattern: adding switches to your code
Sometimes, testing gets hard. For instance, you’d like to test for the behavior of your function in the absence of an internet connection, or in an interactive session, without actually cutting off the internet, or from the safety of a definitely... [Read more...]
Show all data in the background of your faceted ggplot
One of the game-changing features of ggplot2 was the ease with which one can explore the dimensions of the data using small multiples.1 There is a small trick that I was to share today – put all the data in background of every panel. This can conside...
Deploy your own Shiny app server with debian
A few weeks ago I opened an account on Digital Ocean to start my own cloud server. Not long after that I took a workshop on Shiny and, although it was too technical with nothing new for me, I learn a couple of things unrelated to R. The speaker was ...
How to generate data from a model – Part 2
Summary Traditionally, data scientists have built models based on data. This article details how to do the exact opposite i.e. generate data based on a model. This article is second in the series of articles on building data from model. You can find part 1 here Broadly speaking, there are ... [Read more...]
Optimization in R – purchase optimization to minimize cost
This article showcases solving an assumed business problem using optimization, with R as the tool to do so. Optimization problems come is various shapes and sizes and complexities. In this article the focus is on a simplified versio... [Read more...]
More on the ‘Reorient’ transformation
I presented the ‘Reorient’ rotation in
a previous post.
I figured out three things:
there’s an easy precise definition of this rotation, that I didn’t
give;
... [Read more...]
The Music of the Spheres
He himself could hear the harmony of the Universe, and understood the music of the spheres, and the stars which move in concert with them, and which we cannot hear because of the limitations of our weak nature (Porphyry, Life of Pythagoras) I love legends. The life of Pythagoras is ...
Fuzzy joining tables using string distance methods
I recently had a problem where I had two datasets containing data which I needed to join together. The two
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