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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