In EmilHvitfeldt/tripleblind: What the Package Does (One Line, Title Case)

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

tripleblind

The goal of tripleblind is to allow for easy anonymization of the data before EDA to reduce biases.

VERY EARLY WIP, expect mayor changes and the framework falls into place

Installation

You can install tripleblind from github with:

# install.packages("devtools")
devtools::install_github("EmilHvitfeldt/tripleblind")

Example

Under the hood it will label data that can be anonymized.

library(tripleblind)

strip(iris$Sepal.Length)

strip(iris$Species)

strip(sample(c(TRUE, FALSE), 10, replace = TRUE))

In the final release should be working on full datasets

out <- purrr::map(iris, strip)
purrr::map_df(out, "data")

purrr::map(out, "conversion")

EmilHvitfeldt/tripleblind documentation built on May 4, 2019, 6:38 p.m.