A Grammar of Nested Data Manipulation
Nested filtering joins
Nested Mutating joins
Arrange rows within a nested data frames by column values
Count observations in a nested data frame by group
Subset distinct/unique rows within a nested data frame
Drop rows containing missing values in a column of nested data frames
Extract a character column into multiple columns using regex groups in...
Fill missing values in a column of nested data frames
Subset rows in nested data frames using column values.
Group nested data frames by one or more variables
Create, modify, and delete columns in nested data frames
Nested nest join
Change column order within a nested data frame
Rename columns in nested data frames
Replace NAs with specified values in a column of nested data frames
Subset columns in nested data frames using their names and types
Separate a character column into multiple columns in a column of neste...
Subset rows in nested data frames using their positions.
Summarise each group in nested data frames to fewer rows
Unite multiple columns into one in a column of nested data frames
Provides functions for manipulating nested data frames in a list-column using 'dplyr' <https://dplyr.tidyverse.org/> syntax. Rather than unnesting, then manipulating a data frame, 'nplyr' allows users to manipulate each nested data frame directly. 'nplyr' is a wrapper for 'dplyr' functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.
Useful links