princomp.rmult {compositions} | R Documentation |
Performes a principle component analysis for datasets of type rmult.
## S3 method for class 'rmult': princomp(x,...)
x |
a rmult-dataset |
... |
Further arguments to call of princomp.default |
The function just does princomp(unclass(x),...,scale=scale)
and is only here for convenience.
An object of type princomp
with the following fields
sdev |
the standard deviation of the principle components. |
loadings |
the matrix of variable loadings (i.e., a matrix whose
columns contain the eigenvectors). This is of class
"loadings" . The last eigenspace is removed since it should
contain the irrelevant scaling. |
center |
the clr of the means that was substracted |
scale |
the scaling applied to each variable |
n.obs |
number of observations |
scores |
if scores = TRUE , the scores of the supplied data
on the principle components and the information was
available. Scores are coordinates in a basis given by the principle
components and thus not compositions. |
call |
the matched call |
na.action |
Not clearly understood |
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
data(SimulatedAmounts) pc <- princomp(rmult(sa.lognormals5)) pc summary(pc) plot(pc) screeplot(pc) screeplot(pc,type="l") biplot(pc) biplot(pc,choice=c(1,3)) loadings(pc) plot(loadings(pc)) pc$sdev^2 cov(predict(pc,sa.lognormals5))