Trying out timeplyr | Alan Yeung

[utterances-bot]

Trying out timeplyr | Alan Yeung

The timeplyr R package, created by my colleague Nick, was accepted on CRAN in October 2023. A direct quote from the CRAN page is that it provides a set of fast tidy functions for wrangling, completing and summarising date and date-time data. It looks like a really neat package for working with time series data in a way consistent with what people have become used to with the tidyverse. From my chats with Nick, I believe some of the ideas for this package were inspired by problems that came up repeatedly while working with COVID-19 data.

https://alan-y.netlify.com/post/trying-out-timeplyr/

[LennartSchoenfelder]

I am a fan of xts package and have only recently started working with dplyr.
This seems like a really good extension to my dplyr knowledge and I will test out timeplyr the coming days on some river flow time series. Thank you for the package and the illustruous examples!