Percentil.Arrow.plot: Percentil.Arrow.plot

In RSDA: R to Symbolic Data Analysis

Percentil.Arrow.plot

Description

Percentil.Arrow.plot

Usage

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

Arguments

quantiles.sym	Matrix of Quantiles
concept.names	Concept Names
var.names	Variables to plot the arrows
Title	Plot title
axes.x.label	Label of axis X
axes.y.label	Label of axis Y
label.name	Label

Value

Arrow 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)
 M<-length(Hardwood.cols)
 N<-length(Hardwood.names)
 BIN.Matrix<-matrix(rep(3,N*M),nrow = N)
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")
quantile.ACER.plot<-Percentil.Arrow.plot(Hardwood.quantiles.PCA,
                                        concept.names,
                                        var.names,
                                        Title,
                                        axes.x.label,
                                        axes.y.label,
                                        label.name
                                        )
quantile.ACER.plot

## End(Not run)

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