Other packages > Find by keyword >

normalr  

Normalisation of Multiple Variables in Large-Scale Datasets
View on CRAN: Click here


Download and install normalr package within the R console
Install from CRAN:
install.packages("normalr")

Install from Github:
library("remotes")
install_github("cran/normalr")

Install by package version:
library("remotes")
install_version("normalr", "1.0.0")



Attach the package and use:
library("normalr")
Maintained by
Kevin Chang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-20
Latest Update: 2018-03-30
Description:
The robustness of many of the statistical techniques, such as factor analysis, applied in the social sciences rests upon the assumption of item-level normality. However, when dealing with real data, these assumptions are often not met. The Box-Cox transformation (Box & Cox, 1964) provides an optimal transformation for non-normal variables. Yet, for large datasets of continuous variables, its application in current software programs is cumbersome with analysts having to take several steps to normalise each variable. We present an R package 'normalr' that enables researchers to make convenient optimal transformations of multiple variables in datasets. This R package enables users to quickly and accurately: (1) anchor all of their variables at 1.00, (2) select the desired precision with which the optimal lambda is estimated, (3) apply each unique exponent to its variable, (4) rescale resultant values to within their original X1 and X(n) ranges, and (5) provide original and transformed estimates of skewness, kurtosis, and other inferential assessments of normality.
How to cite:
Kevin Chang (2016). normalr: Normalisation of Multiple Variables in Large-Scale Datasets. R package version 1.0.0, https://cran.r-project.org/web/packages/normalr
Previous versions and publish date:
0.0.1 (2016-12-20 13:02), 0.0.2 (2017-01-09 15:17), 0.0.3 (2017-01-17 08:36)
Other packages that cited normalr R package
View normalr citation profile
Other R packages that normalr depends, imports, suggests or enhances
Functions, R codes and Examples using the normalr R package
Some associated functions: getLambda . normalise . normaliseData . normalrShiny . testData . 
Some associated R codes: getLambda.R . normalise.R . normaliseData.R . normalrShiny.R . testData.R .  Full normalr package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns