Generalized Network-Based Dimensionality Reduction and Analysis

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Documentation for package ‘nda’ version 0.1.13

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nda-package Package of Generalized Network-based Dimensionality Reduction and Analyses
biplot.nda Biplot function for Generalized Network-based Dimensionality Reduction and Analysis (GNDA)
COVID19_2020 Covid'19 case datesets of countries (2020), where the data frame has 138 observations of 18 variables.
CrimesUSA1990.X Crimes in USA cities in 1990. Independent variables (X)
CrimesUSA1990.Y Crimes in USA cities in 1990. Dependent variable (Y)
CWTS_2020 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).
data_gen Generate random block matrix for GNDA
dCor Calculating distance correlation of two vectors or columns of a matrix
dCov Calculating distance covariance of two vectors or columns of a matrix
fs.dimred Feature selection for PCA, FA, and (G)NDA
fs.KMO Feature selection for KMO
GOVDB2020 Governmental and economic data of countries (2020), where the data frame has 138 observations of 2161 variables.
I40_2020 NUTS2 regional development data (2020) of I4.0 readiness, where the data frame has 414 observations of 101 variables.
nda Package of Generalized Network-based Dimensionality Reduction and Analyses
ndr Genearlized Network-based Dimensionality Reduction and Analysis (GNDA)
normalize Min-max normalization
pdCor Calculating partial distance correlation of columns of a matrix
plot.nda Plot function for Generalized Network-based Dimensionality Reduction and Analysis (GNDA)
spdCor Calculating semi-partial distance correlation of columns of a matrix
summary.nda Summary function of Generalized Network-based Dimensionality Reduction and Analysis (GNDA)