README.md

In kcha193/normalr: Normalisation of Multiple Variables in Large-Scale Datasets

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.

Citation

To cite this R package, please use the following, Courtney, M. G. R., and Chang, K. C. (2018) Dealing with non-normality: an introduction and step-by-step guide using R. TEST, doi: 10.1111/test.12154.

kcha193/normalr documentation built on Dec. 11, 2021, 1:54 p.m.