rowwise-methods: Group input by rows

In stemangiola/ttBulk: Brings transcriptomics to the tidyverse

Group input by rows

Description

See [this repository](https://github.com/jennybc/row-oriented-workflows) for alternative ways to perform row-wise operations.

Arguments

data	Input data frame.
...	Variables to be preserved when calling summarise(). This is typically a set of variables whose combination uniquely identify each row. NB: unlike group_by() you can not create new variables here but instead you can select multiple variables with (e.g.) everything().

Details

'rowwise()' is used for the results of [do()] when you create list-variables. It is also useful to support arbitrary complex operations that need to be applied to each row.

Currently, rowwise grouping only works with data frames. Its main impact is to allow you to work with list-variables in [summarise()] and [mutate()] without having to use [[1]]. This makes 'summarise()' on a rowwise tbl effectively equivalent to [plyr::ldply()].

Value

A consistent object (to the input)

A 'tbl'

Examples

df <- expand.grid(x = 1:3, y = 3:1)
df_done <- df |> rowwise() 

stemangiola/ttBulk documentation built on Oct. 19, 2024, 1:34 p.m.