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normalr

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.

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Install

install.packages('normalr')

Monthly Downloads

158

Version

1.0.0

License

GPL

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Last Published

March 30th, 2018

Functions in normalr (1.0.0)

getLambda

Get Optimal Lambda value
normalise

Apply normalisation on a numeric vector using a specific Lambda value
normalrShiny

Shiny application of the normalr
testData

Test dataset for the paper
normaliseData

Apply normalisation on a data frame using specific Lambda value