bayesMRM (version 2.4.0)

pcplot: Principal component plot

Description

Draw principal component plots of data (Y) and source profiles (rows) of the estimated source composition matrix P.hat (and P0 if there is another source composition matrix P0 to compare, e.g., P0 could be the true P in simulation or P0 could be another estimate of P)

Usage

pcplot(x, P0, G3D=FALSE,...)

Value

plot

Arguments

x

an object of class bmrm, the output from the function bmrm

P0

estimated value of P (in simulation it can be the true value of P)

G3D

TRUE/FALSE, dynamic 3D plot (default=FALSE)

...

arguments to be passed to methods

Examples

# \donttest{
data(Elpaso)
Y=Elpaso$Y ; muP=Elpaso$muP
q=nrow(muP)
out.Elpaso <- bmrm(Y,q,muP, nAdapt=1000,nBurnIn=5000,nIter=5000,nThin=1)
pcplot(out.Elpaso)
pcplot(out.Elpaso,G3D=TRUE)
# }