This is a collection of functions I use regularly both in professional & personal projects. Formalizing in a development package helps speed up workflows without having to re-define functions in each project. If it makes sense, I may coalesce common functions into their own dedicated package, but this can be considered an ever-in-progress testing ground.

Others should note that this is intended primarily for use by me, and it may not be the most well-documented or error-resilient.

## Installation

If you’d like to use, this package can be installed with the devtools package:

install.packages("devtools")
devtools::install_github("https://github.com/markjrieke/riekelib")

## Usage

There are currently a few function groups in this package:

1. stats_extensions.R contains functions that provide an interface to the stats package; namely, adding confidence intervals to common distributions.
2. bound_transforms.R contains functions that rescale values on a bound scale to an unbounded scale, and vice-versa.
3. qualtrics_extensions.R contains functions that build upon the qualtRics package, but would be unlikely to be accepted in a PR.
4. tidyverse_extensions.R contains functions that aggregate common data transformation steps into single function calls.
5. nps.R contains functions for working with Net Promoter Score (NPS) data.