tibbletime: Time-Aware Data Sets In R

Kevin Feasel

2017-10-10

R

At Business Science, they’ve announced a new R package:

We are excited to announce the release of tibbletime v0.0.2 on CRAN. Loads of new functionality have been added, including:

  • Generic period support: Perform time-based calculations by a number of supported periods using a new ~period formula~.
  • Creating series: Use create_series() to quickly create a tbl_time object initialized with a regular time series.
  • Rolling calculations: Turn any function into a rolling version of itself with rollify().
  • A number of smaller tweaks and helper functions to make life easier.

As we further develop tibbletime, it is becoming clearer that the package is a tool that should be used in addition to the rest of the tidyverseThe combination of the two makes time series analysis in the tidyverse much easier to do!

Check out their demos comparing New York and San Francisco weather.  It looks like it’ll be a useful package.  H/T R-bloggers

Related Posts

Inline Operators In R With wrapr

John Mount shows how to use inline operators in R with the wrapr package: The above code is assuming you have the wrapr package attached via already having run library('wrapr'). Notice we picked R-related operator names. We stayed away from overloading the + operator, as the arithmetic operators are somewhat special in how they dispatch in R. The goal wasn’t […]

Read More

Feature And Text Classification Using Naive Bayes In R

I wrap up my series on the Naive Bayes class of algorithms, finally writing some code along the way: Now we’re going to look at movie reviews and predict whether a movie review is a positive or a negative review based on its words. If you want to play along at home, grab the data set, […]

Read More

Categories

October 2017
MTWTFSS
« Sep Nov »
 1
2345678
9101112131415
16171819202122
23242526272829
3031