Reusable Pipelines in R

Pipelines in R are popular, the most popular one being magrittr as used by dplyr. This note will discuss the advanced re-usable piping systems: rquery/rqdatatable operator trees and wrapr function … Read more

Gold-Mining Week 15 (2018)

The post Gold-Mining Week 15 (2018) appeared first on Fantasy Football Analytics. Related R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big … Read more

Rsampling Fama French

Today we will continue our work on Fama French factor models, but more as a vehicle to explore some of the awesome stuff happening in the world of tidy models. … Read more

Twins on the up

Are multiple births on the increase? My twin boys turned 5 years old today. Wow, time flies. Life is never dull, because twins are still seen as something of a … Read more

Scraping the Turkey Accordion

Related To leave a comment for the author, please follow the link and comment on their blog: R on datawookie. R-bloggers.com offers daily e-mail updates about R news and tutorials … Read more

Sharing Modeling Pipelines in R

Reusable modeling pipelines are a practical idea that gets re-developed many times in many contexts. wrapr supplies a particularly powerful pipeline notation, and a pipe-stage re-use system (notes here). We … Read more

Le Monde puzzle [#1075]

A new Le Monde mathematical puzzle in the digit category: Find the largest number such that each of its internal digits is strictly less than the average of its two … Read more

Great post Yash!

Great post Yash! For those readers interested in getting data from the fitbit API using R I’ve documented the process here: https://towardsdatascience.com/the-gamification-of-fitbit-how-an-api-provided-the-next-level-of-training-eaf7b267af00 Related R-bloggers.com offers daily e-mail updates about R … Read more

ggmap Tutorial Updated!

Y’all it may have taken me a little time, but I did listen. Thank you for your emails. Because of you, I have now updated my ggmap tutorial to address … Read more