tidyfst: Tidy Verbs for Fast Data Manipulation

The tidyfst package (Huang, 2020a) is an R package (R Core Team, 2020) for fast data manipulation in tidy syntax. The top-level design is inherited from tidy data structure proposed by Hadley Wickham (Wickham, 2014), which are: (1) each variable is a column; (2) each observation is a row; (3) each type of observational unit is a table. Moreover, the function names as well as parameter settings are very much borrowed from dplyr (Wickham et al., 2020) and tidyr (Wickham & Henry, 2020), reducing the learning cost for tidyverse (Wickham et al., 2019) users. At the bottom, tidyfst is backed by the high performance package data.table (Dowle & Srinivasan, 2019), which is speedy, stable (with little dependency), memory efficient and feature rich.