sym.all.quantiles.plot: sym.all.quantiles.plot

In RSDA: R to Symbolic Data Analysis

sym.all.quantiles.plot

Description

sym.all.quantiles.plot

Usage

sym.all.quantiles.plot(
  quantiles.sym,
  concept.names,
  var.names,
  Title,
  axes.x.label,
  axes.y.label,
  label.name
)

Arguments

quantiles.sym	A quantile matrix
concept.names	Concept Names
var.names	Variables to plot
Title	Plot title
axes.x.label	Label of axis X
axes.y.label	Label of axis Y
label.name	Concept Variable

Value

3D Scatter Plot

Author(s)

Jorge Arce Garro

Examples

## Not run: 
 data("hardwoodBrito")
 Hardwood.histogram<-hardwoodBrito
 Hardwood.cols<-colnames(Hardwood.histogram)
 Hardwood.names<-row.names(Hardwood.histogram)
 M<-length(Hardwood.cols)
 N<-length(Hardwood.names)
 BIN.Matrix<-matrix(rep(3,N*M),nrow = N)
 pca.hist<-sym.histogram.pca(Hardwood.histogram,BIN.Matrix)
 Hardwood.quantiles.PCA<-quantiles.RSDA(pca.hist$sym.hist.matrix.PCA,3)
 label.name<-"Hard Wood"
 Title<-"First Principal Plane"
 axes.x.label<- "First Principal Component (84.83%)"
 axes.y.label<- "Second Principal Component (9.70%)"
 concept.names<-c("ACER")
 var.names<-c("PC.1","PC.2")

 concept.names<-row.names(Hardwood.quantiles.PCA)
 sym.all.quantiles.plot(Hardwood.quantiles.PCA,
                           concept.names,
                           var.names,
                           Title,
                           axes.x.label,
                           axes.y.label,
                           label.name)

## End(Not run)

RSDA documentation built on Nov. 10, 2023, 5:06 p.m.