R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
RankPCA
View on CRAN: Click
here
Download and install RankPCA package within the R console
Install from CRAN:
install.packages("RankPCA")
Install from Github:
library("remotes")
install_github("cran/RankPCA")
Install by package version:
library("remotes")
install_version("RankPCA", "0.1.0")
Attach the package and use:
library("RankPCA")
Maintained by
Dr. Sandip Garai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.RankPCA . RankPCA results . RankPCA.pdf . RankPCA_0.1.0.tar.gz . RankPCA_0.1.0.zip . RankPCA_0.1.0.zip . RankPCA_0.1.0.zip . RankPCA_0.1.0.tgz . RankPCA_0.1.0.tgz . RankPCA_0.1.0.tgz . RankPCA_0.1.0.tgz . RankPCA_0.1.0.tgz . RankPCA_0.1.0.tgz . https://CRAN.R-project.org/package=RankPCA .
First Published: 2024-06-07
Latest Update: 2024-06-07
Description:
Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of a dataset while preserving as much variability as possible. By transforming the original variables into a new set of uncorrelated variables called principal components, PCA helps in identifying patterns and simplifying the complexity of high-dimensional data. The 'RankPCA' package provides a streamlined workflow for performing PCA on datasets containing both categorical and continuous variables. It facilitates data preprocessing, encoding of categorical variables, and computes PCA to determine the optimal number of principal components based on a specified variance threshold. The package also computes composite indices for ranking observations, which can be useful for various analytical purposes. Garai, S., & Paul, R. K. (2023) <doi:10.1016/j.iswa.2023.200202>.
How to cite:
Dr. Sandip Garai (2024). RankPCA: Rank of Variables Based on Principal Component Analysis for Mixed Data Types. R package version 0.1.0, https://cran.r-project.org/web/packages/RankPCA. Accessed 02 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited RankPCA R package
View RankPCA citation profile
Other R packages that RankPCA depends,
imports, suggests or enhances
Complete documentation for RankPCA
Functions, R codes and Examples using
the RankPCA R package
Full RankPCA package
functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
CodeDepends
Tools for analyzing R expressions
or blocks of code and determining the dependencies between them.
...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gabriel Becker (view profile)
geonapi
Provides an R interface to the 'GeoNetwork' API () allowing ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Emmanuel Blondel (view profile)
binom
Constructs confidence intervals on the probability of
success in a binomial experiment via several ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sundar Dorai-Raj (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
CTShiny
An interactive document on the topic of classification tree analysis using 'rmarkdown' and 'shiny' ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kartikeya Bolar (view profile)
munfold
Multidimensional unfolding using Schoenemann's algorithm for metric
and Procrustes rotation of unfo ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Martin Elff (view profile)
23,990
R Packages
207,311
Dependencies
64,809
Author Associations
23,991
Publication Badges
