Compared with other types of neural networks, General Regression Neural Network (Specht, 1991) is advantageous in several aspects. Being an universal approximation function, GRNN has only one tuning parameter to...continue reading.
A. Background In previous posts, I covered a number of useful functions and packages for writing reusable code. I wanted to extend on that information by providing a working example...continue reading.
The {waffle} package got some 💙 this week and now has a substantially improved geom_waffle() along with a brand new sibling function geom_pictogram() which has all the powerful new features...continue reading.
Below are the slides for my Future: Simple Parallel and Distributed Processing in R that I presented at the useR! 2019 conference in Toulouse, France on July 9-12, 2019. My...continue reading.
Work faster, write better pandas code, and impress your friends! These are the most useful tricks I’ve learned from 5 years of teaching Python’s pandas library.continue reading.
This is the second part about my project that deals with the Twitter network of members of the Bundestag. After … Read More →continue reading.
For the R tutorial that I gave at the WZB in the previous semester, I gave an introduction on how … Read More →continue reading.
EARL London 2019 is getting closer! We’ve got a great line up of speakers from a huge range of industries and three fantastic keynote speakers – Helen Hunter – Sainsbury’s,...continue reading.
Never heard of non-standard evaluation? Then our colleague Markus has the perfect answer for you: Bang Bang! In this blog post, Markus introduces meta-programming when using dplyr. Der Beitrag Bang...continue reading.
On July 5, the R Core Group released the source code for the latest update to R, R 3.6.1, and binaries are now available to download for Windows, Linux and...continue reading.
A friend called me the other day for advice on how to submit an R package to CRAN along with a proof his method was mathematically sound. I replied with...continue reading.
Before actually using a dynamic exercise in a course it should be thoroughly tested. While certain aspects require critical reading by a human, other aspects can be automatically stress-tested in...continue reading.
I was at the International Workshop on Computational Economics and Econometrics last week, which I help to organise and is … Morecontinue reading.
After the development of MOB package (https://github.com/statcompute/MonotonicBinning), I was asked by a couple users about the possibility of using the decision tree to drive the monotonic binning. Although I am...continue reading.
Welcome to a mid-summer edition of Reproducible Finance with R. Today, we’ll explore the dividend histories of some stocks in the S&P 500. By way of history for all you...continue reading.
I am someone who regularly uses R, and my interest in programming languages means that on a semi-regular basis spend time reading blog posts about the language. Over the last...continue reading.
Pre-conference tutorial about R/exams at useR! 2019 (The R User Conference) in Toulouse: Slides, example code, and links to further information. Tutorial at useR! 2019 Today, the pre-conference tutorials kick...continue reading.
Quick introduction to `recipes` package, from the `tidymodels` family, based on one hot encoding. Useful to automatize some data preparation tasks.continue reading.
So far on this blog, we’ve used the data containing information on Pitchfork music reviews (available on Kaggle at this link) for a number of different data analyses. I’ve found...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
