Biplot {MVar}R Documentation

Biplot graph.

Description

Plots the Biplot graph.

Usage

Biplot(data, alpha = 0.5, title = NA, xlabel = NA, ylabel = NA,
       size = 1.1, grid = TRUE, color = TRUE, obs = TRUE, linlab = NA)

Arguments

data

Data for plotting.

alpha

Representativeness of the individuals (alpha), representativeness of the variables (1 - alpha), being 0.5 the default.

title

Titles of the graphics, if not set, assumes the default text.

xlabel

Names the X axis, if not set, assumes the default text.

ylabel

Names the Y axis, if not set, assumes the default text.

size

Size of the points in the graphs.

grid

Put grid on graphs (default = TRUE).

color

Colored graphics (default = TRUE).

obs

Adds the observations to the graph (default = TRUE).

linlab

Vector with the labels for the observations, if not set, assumes the default text.

Value

Biplot

Biplot graph.

Md

Matrix eigenvalues.

Mu

Matrix U (eigenvectors).

Mv

Matrix V (eigenvectors).

coorI

Coordinates of the individuals.

coorV

Coordinates of the variables.

pvar

Proportion of the principal components.

Author(s)

Paulo Cesar Ossani

Marcelo Angelo Cirillo

References

RENCHER, A. C. Methods of multivariate analysis. 2th. ed. New York: J.Wiley, 2002. 708 p.

Examples

data(DataQuan) # set of quantitative data

data <- DataQuan[,2:ncol(DataQuan)]
rownames(data) <- DataQuan[,1]

Biplot(data)

LinNames <- paste("C",1:nrow(data), sep="")
Biplot(data, alpha = 0.6, title = "Biplot of data valuing individuals",
       xlabel = "X Axis", ylabel = "Y Axis", color = TRUE, obs = TRUE, 
       linlab = LinNames)
       
Biplot(data, alpha = 0.4, title = "Graph valuing the variables",
       xlabel = "", ylabel = "", color = FALSE, obs = FALSE)

[Package MVar version 2.0.9 Index]