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.

You can install the released version of vacuum from CRAN with:

```
install.packages("vacuum")
````
You can install the development version, which currently contains only documentation changes, from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("sielinski/vacuum")
```

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)
```

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