R’s S3 generic-function object-oriented system
In Data Science, there are numerous instances where different techniques call for the use of different tools. For me, this means hopping between R and python on a weekly basis....continue reading.
In Data Science, there are numerous instances where different techniques call for the use of different tools. For me, this means hopping between R and python on a weekly basis....continue reading.
About a year and a half back I was working in Python a bit and became accustomed to the explicit importing of modules (akin to R packages) and functions. Python...continue reading.
I got a new package on CRAN! It’s called particles and it sits right in the perfect intersection of fun, cool, and useful. If you don’t believe me, have a...continue reading.
We are happy to announce that stringr 1.3.0 is now on CRAN. stringr provides a cohesive set of functions designed to make working with strings as easy as possible. For...continue reading.
Topology is the silly putty of mathematics. One of the strangest shapes in topology is the Möbius strip. This strip is a surface with only one side. This article shows...continue reading.
A troubleshooting guide to installing R packages. Covers base R upgrades, different repos, typo-proofing and more!continue reading.
We are pleased to announce that forcats 0.3.0 is now on CRAN. The forcats package provides a suite of useful tools that solve common problems with factors in R. This...continue reading.
The problemLast week, I replied to this interesting question posted by @Tim_K over stackoverflow. He was seeking efficient solutions to identify all points falling within a maximum distance of xx meters...continue reading.
This post will cover two aspects: the first will be a function to convert daily returns into a table of … Continue reading →continue reading.
I have to admit my initial thoughts of deep learning were pessimistic and in order to not succumb to impostor syndrome, I put off learning any new techniques in the...continue reading.
I have to admit my initial thoughts of deep learning were pessimistic and in order to not succumb to impostor syndrome, I put off learning any new techniques in the...continue reading.
Great effort has recently been made to encourage also the not-so-experienced to jump into the water and blog about data science. Some of the community’s hot shots gracefully draw attention...continue reading.
A critical aspect of research is the reproduction of previously published results. Yet most will find reproduction of research challenging since important parameters needed to reproduce results are often not...continue reading.
Often, your R code will rely on having one or more R packages available. A little defensive coding will save users of your code—including future-you—from having to figure out which packages...continue reading.
This post introduces the SNAPverse R package ecosystem. A series of followup posts will introduce different SNAPverse R packages that offer functionality to meet specific researcher and analyst needs regarding:...continue reading.
These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Learning “Common Sense” and Physical Concepts with Roland Memisevic: Sketchnotes from TWiMLAI talk #111:...continue reading.
Hello and welcome to this new issue! Explain R environments like I’m five R-Podcast Episode 24: Yihui Xie Returns (rstudio::conf 2018) Eric reconnects with the first-ever guest of the R-Podcast,...continue reading.
Want to know whether lapply is quicker than a for-loop? Is there a faster solution? This is the place!continue reading.
A. Motivation During the recent RStudio Conference, an attendee asked the panel about the lack of support provided by the tidyverse in relation to time series data. As someone who...continue reading.
After switching the role from the credit risk to the operational risk in 2015, I spent countless weekend hours in the Starbucks researching on how to model operational losses in...continue reading.