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Network-based dimensionality reduction and analysis.

This package provides Network-based dimensionality reduction and analysis.

Network-based dimensionality reduction and analysis.
Dimensional reduction.
Plot and biplot functions
Data generation

Author

Zsolt T. Kosztyan
Marcell T. Kurbucz
Attila I. Katona
Zahid Khan

Contributor

Zsolt T. Kosztyan

Maintainer

Zsolt T. Kosztyan

Installation

To install the package type the following:

library(devtools)
install_github("kzst/nda")
library(nda)

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Version

Install

install.packages('nda')

Monthly Downloads

262

Version

0.2.4

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/kzst/nda

Maintainer

Zsolt T. Kosztyan

Last Published

February 16th, 2025

Functions in nda (0.2.4)

Feature selection for PCA, FA, and (G)NDA

Calculating partial distance correlation of columns of a matrix

Plot function for Generalized Network-based Dimensionality Reduction and Analysis (GNDA)

residuals.ndrlm

Calculation of residual values of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM)

Calculation of fitted values of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM)

Plot function for Generalized Network-based Dimensionality Reduction and Regression (GNDR)

Genearlized Network-based Dimensionality Reduction and Analysis (GNDA)

Calculating semi-partial distance correlation of columns of a matrix

Print function of Generalized Network-based Dimensionality Reduction and Analysis (GNDA)

Print summary of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM)

Calculation of predicted values of Generalized Network-based Dimensionality Reduction and Regression with Linear Models (NDRLM)

Summary function of Generalized Network-based Dimensionality Reduction and Analysis (GNDA)

Summary function of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM)

Calculation of predicted values of Generalized Network-based Dimensionality Reduction and Analysis (GNDA)

Calculating distance correlation of two vectors or columns of a matrix

CrimesUSA1990.X

Crimes in USA cities in 1990. Independent variables (X)

CrimesUSA1990.Y

Crimes in USA cities in 1990. Dependent variable (Y)

Covid'19 case datesets of countries (2020), where the data frame has 138 observations of 18 variables.

Biplot function for Generalized Network-based Dimensionality Reduction and Analysis (GNDA)

CWTS Leiden's University Ranking 2020 for all scientific fields, within the period of 2016-2019. 1176 observations (i.e., universities), and 42 variables (i.e., indicators).

Governmental and economic data of countries (2020), where the data frame has 138 observations of 2161 variables.

NUTS2 regional development data (2020) of I4.0 readiness, where the data frame has 414 observations of 101 variables.

Generate random block matrix for GNDA

Calculating distance covariance of two vectors or columns of a matrix

Min-max normalization

Feature selection for KMO

Package of Generalized Network-based Dimensionality Reduction and Analyses

Genearlized Network-based Dimensionality Reduction and Regression (GNDR)