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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)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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