knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of tripleblind is to allow for easy anonymization of the data before EDA to reduce biases.
VERY EARLY WIP, expect mayor changes and the framework falls into place
You can install tripleblind from github with:
# install.packages("devtools") devtools::install_github("EmilHvitfeldt/tripleblind")
Under the hood it will label data that can be anonymized.
library(tripleblind) strip(iris$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")
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