What are some best practices in R that are rarely adhered to?

• lintr

  4 1,150 9.4 R

  Static Code Analysis for R

  

lintr: https://github.com/jimhester/lintr

• box

  31 811 7.5 R

  Write reusable, composable and modular R code (by klmr)

A solution that gives you the best of both worlds is to use ‘box’: with it, you declare package uses as if with library, but you wouldn’t attach most (or any) names. Instead, you explicitly declare what names to attach for every package.

• InfluxDB

  www.influxdata.com featured

  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

  26 434 8.2 R

  Tidy interface to 'data.table'

I use SQL all the time and I prefer tidy syntax. FWIW: https://github.com/markfairbanks/tidytable. Although I usually have my data in a database, and I do as much there as possible, so I rarely need this speed improvement.

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