plot.acp {amap}R Documentation

Graphics for Principal component Analysis

Description

Graphics for Principal component Analysis

Usage

plot.acp(x,i=1,j=2,text=TRUE,label='Composants',col='darkblue',
main='Individuals PCA',variables=TRUE,labels=NULL,...)
biplot.acp(x,i=1,j=2,label='Composants',col='darkblue',length=0.1,
main='Variables PCA',circle=TRUE,...)
plot2(x,pourcent=FALSE,eigen=TRUE,label='Comp.',col='lightgrey',
main='Scree Graph',ylab='Eigen Values')
plotAll(x)

Arguments

x Result of acp or princomp
i X axis
j Y axis
text a logical value indicating whether we use text or points for plot
pourcent a logical value indicating whether we use pourcentage of values
eigen a logical value indicating whether we use eigen values or standard deviation
label label for X and Y axis
labels labels naming individuals
col Color of plot
main Title of graphic
ylab Y label
length length of arrows
variables,circle a logical value indicating whether we display circle or variables
... cex, pch, and other options; see points.

Value

Graphics:
plot.acp PCA for lines (individuals)
plot.acp PCA for columns (variables)
plot2 Eigen values diagram (Scree Graph)
plotAll Plot both 3 graphs

Author(s)

Antoine Lucas, http://mulcyber.toulouse.inra.fr/projects/amap/

See Also

acpgen,acprob, princomp

Examples

data(lubisch)
lubisch <- lubisch[,-c(1,8)]
p <- acp(lubisch)
plotAll(p)

[Package amap version 0.8-2 Index]