predict.loclda {klaR} | R Documentation |
Classifies new observations using parameters determined by
the loclda
-function.
## S3 method for class 'loclda': predict(object, newdata, ...)
object |
Object of class loclda . |
newdata |
Data frame of cases to be classified. |
... |
Further arguments are ignored. |
A list with components:
class |
Vector (of class factor ) of classifications. |
posterior |
Posterior probabilities for the classes.
For details of computation see loclda
(+ normalization so posterior-values add up to 1 for each observation). |
all.zero |
Vector (of class integer ) indicating for which rows of
newdata all corresponding posterior-values are < 1e-150 before normalization.
Those observations are assigned to the class to whose (locally weighted) centroid they have the
lowest euclidian distance. |
Marc Zentgraf (marc-zentgraf@gmx.de) and Karsten Luebke (luebke@statistik.tu-dortmund.de)
data(B3) x <- loclda(PHASEN ~ ., data = B3, subset = 1:80) predict(x, B3[-(1:80),])