print.nda: Print function of Generalized Network-based Dimensionality...

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print.ndaR Documentation

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

Description

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

Usage

## S3 method for class 'nda'
print(x, digits = getOption("digits"), ...)

Arguments

x

an object of class 'nda'.

digits

the number of significant digits to use when add.stats = TRUE.

...

additional arguments affecting the summary produced.

Author(s)

Zsolt T. Kosztyan*, Marcell T. Kurbucz, Attila I. Katona

e-mail*: kzst@gtk.uni-pannon.hu

References

KosztyƔn, Z. T., Katona, A. I., Kurbucz, M. T., & Lantos, Z. (2024). Generalized network-based dimensionality analysis. Expert Systems with Applications, 238, 121779. <URL: https://doi.org/10.1016/j.eswa.2023.121779>.

See Also

biplot, plot, summary, ndr.

Examples

# Example of summary function of NDA without feature selection

data("CrimesUSA1990.X")
df<-CrimesUSA1990.X
p<-ndr(df)
summary(p)

# Example of summary function of NDA with feature selection
# minimal eigen values (min_evalue) is 0.0065
# minimal communality value (min_communality) is 0.1
# minimal common communality value (com_communalities) is 0.1

p<-ndr(df,min_evalue = 0.0065,min_communality = 0.1,com_communalities = 0.1)
print(p)


kzst/nda documentation built on Dec. 16, 2024, 7:02 a.m.