Why is {dplyr} so huge, and are there any alternatives or a {dplyr} 'lite' that I can use for the basic mutate, group_by, summarize, etc?

• poorman

  2 328 5.7 R

  A poor man's dependency free grammar of data manipulation

You might find the poorman package interesting: https://github.com/nathaneastwood/poorman

• pak

  1 618 9.3 C

  A fresh approach to package installation (by r-lib)

  

For installation, check out pak https://github.com/r-lib/pak, it's able to install in parallel.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• tidytable

  26 435 8.3 R

  Tidy interface to 'data.table'

Tidytable is what you might be looking for: https://markfairbanks.github.io/tidytable/, this will require a bit of refactoring (e.g group-bys happen as arguments in summarise/mutate). You'll get data.table like speed in a very compact & complete package.

Suggest a related project