# vacuum

Vacuum is an implementation in R of three procedures developed by
John Tukey: FUNOP (FUll NOrmal Plot), FUNOR-FUNOM (FUll NOrmal
Rejection-FUll NOrmal Modification), and vacuum cleaner. Combined, they
provide a way to identify, treat, and analyze outliers in two-way (i.e.,
contingency) tables, as described in his landmark paper “The Future of
Data Analysis”, Tukey, John W. (1962) https://www.jstor.org/stable/2237638.

## Installation

I’ll release this on CRAN
once they begin accepting packages again (after their summer hiatus). In
the meantime, you can try:

`devtools::install_github("sielinski/vacuum")`

## Example

funop identifies outliers in a numeric vector:

```
library(vacuum)
# example data
dat <-
c(14, -104, -97, -59, -161, 93, 454, -341, 54, 137, 473, 45, 193, 22)
# outliers flagged as TRUE in the special column
funop(dat)
```