amap (version 0.5-1)

plot.acp: 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',...)
biplot.acp(x,i=1,j=2,label='Composants',col='darkblue',length=0.1,
main='Variables PCA',...)
plot2.acp(x,pourcent=FALSE,eigen=TRUE,label='Comp.',col='lightgrey',
main='Scree Graph',ylab='Eigen Values')
print.acp(x, ...)

Value

Graphics:

plot.acp PCA for lines (individuals)

plot.acp PCA for columns (variables)

plot2.acp Eigen values diagram (Scree Graph)

See Also

acpgen,acprob, princomp

Examples

data(lubisch)
lubisch <- lubisch[,-c(1,8)]
p <- acpgen(lubisch,h1=1,h2=1/sqrt(2))
plot(p)