In albutz/tidyhelpr: Helper functions for data wrangling with the tidyverse

knitr::opts_chunk$set(
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tidyhelpr

The tidyhelpr package is a conglomeration of useful helper function for data wrangling with the tidyverse. It is (and per se will always be) work in progress as I add a function if

1. I construct roughly the same helper function in multiple (non-related) projects.
2. The function is nontrivial.

At the moment, tidyhelpr includes the following functions:

• mutate_rows() extends dplyr::mutate() by a predicate function parameter to apply the mutation only to rows that satisfy the predicate. Note that a similar task can be achieved by using dplyr::if_else() inside of dplyr::mutate(). However, mutate_rows() simplifies the code especially if multiple variables are wrangled.

• split_groups() is a wrapper for dplyr::group_split() and names the list elements by the group keys. It allows for more than one group and concatenates the individual keys.

• Ever had the struggle of reading in a csv file and realizing the relevant part starts only in line 1245? Then read_sub() is your friend: it lets you find the pattern for identifying the start point, splits lines and reads the relevant part via readr::read_delim().

Installation

You can install the development version of tidyhelpr from GitHub with:

# install.packages("devtools")
devtools::install_github("albutz/tidyhelpr")

Examples

albutz/tidyhelpr documentation built on May 9, 2022, 12:03 a.m.