summary.nda function

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

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

## S3 method for class 'nda'
summary(object, digits = getOption("digits"), ...)

Arguments

• object: an object of class 'nda'.
• digits: the number of significant digits to use when add.stats = TRUE.
• ...: additional arguments affecting the summary produced.

Returns

• communality: Communality estimates for each item. These are merely the sum of squared factor loadings for that item. It can be interpreted in correlation matrices.

• loadings: A standard loading matrix of class “loadings".

• uniqueness: Uniqueness values of indicators.

• factors: Number of found factors.

• scores: Estimates of the factor scores are reported (if covar=FALSE).

• n.obs: Number of observations specified or found.

References

Kosztyán, 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>.

Author(s)

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

e-mail*: kosztyan.zsolt@gtk.uni-pannon.hu

See Also

biplot, plot, print, 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)
summary(p)