plot.nda {nda}

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

Description

Plot variable network graph

Usage

## S3 method for class 'nda'
plot(x, cuts=0.3, interactive=TRUE,edgescale=1.0,labeldist=-1.5,...)

Arguments

x

an object of class 'NDA'.

cuts

minimal square correlation value for an edge in the correlation network graph (default 0.3).

interactive

Plot interactive visNetwork graph or non-interactive igraph plot (default TRUE).

edgescale

Proportion scale value of edge width.

labeldist

Vertex label distance in non-interactive igraph plot (default value =-1.5).

...

other graphical parameters.

Author(s)

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

e-mail*: [e-mail]

See Also

biplot, summary, ndr.

Examples

# Plot function with feature selection

data("CrimesUSA1990.X")
df<-CrimesUSA1990.X
p<-ndr(df)
biplot(p,main="Biplot of CrimesUSA1990 without feature selection")

# Plot function 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)

# Plot with default (cuts=0.3)
plot(p)

# Plot with higher cuts
plot(p,cuts=0.6)