groupedstats: Grouped statistical analysis in a tidy way

Retirement

---

This package is no longer under active development and no new functionality will be added. You should instead be using group_map(), group_modify() and group_walk() functions from dplyr. See: https://dplyr.tidyverse.org/reference/group_map.html

This is for two reasons-

1. dplyr 0.8.1 introduced group_map(), group_modify() and group_walk() functions that can be used to iterate on grouped dataframes. So if you want to do grouped_ operations, I would highly recommend using these functions over groupedstats functions since the former are much more general, efficient, and faster than the latter. For more, see: https://dplyr.tidyverse.org/reference/group_map.html

2. There are more general versions of these functions introduced in broomExtra package:
   grouped_tidy, grouped_augment, grouped_glance. For more, see: https://indrajeetpatil.github.io/broomExtra/reference/index.html#section-grouped-variants-of-generics

---

Installation

Type	Source	Command
Release	CRAN	install.packages("groupedstats")
Development	GitHub	remotes::install_github("IndrajeetPatil/groupedstats")