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❗ This is a read-only mirror of the CRAN R package repository. normalr — Normalisation of Multiple Variables in Large-Scale Datasets. Homepage: https://github.com/kcha193/normalr Report bugs for this package: https://github.com/kcha193/normalr/issues

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normalr

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The normalr allows you to perform normalisation on multiple variables in large-scale datasets.

Installation

normalr is available from CRAN. Install it with:

install.packages("normalr")

You can install normalr from github with:

# install.packages("devtools")
devtools::install_github("kcha193/normalr")

Examples

The following example uses normalr to normalise 11 continous variables in mtcars dataset.

library(normalr)

normaliseData(mtcars, getLambda(mtcars))

Shiny apps

The following example run a shiny appliaction uses normalr to normalise any dataset that the user input.

library(normalr)

normalrShiny()

The shiny app is also available from shinyapps.io.

About

❗ This is a read-only mirror of the CRAN R package repository. normalr — Normalisation of Multiple Variables in Large-Scale Datasets. Homepage: https://github.com/kcha193/normalr Report bugs for this package: https://github.com/kcha193/normalr/issues

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