predict.pcalda: Predict Method for Class 'pcalda'

In mt: Metabolomics Data Analysis Toolbox

Predict Method for Class 'pcalda'

Description

Prediction of test data using pcalda.

Usage

## S3 method for class 'pcalda'
predict(object, newdata,...)

Arguments

object	Object of class pcalda.
newdata	A matrix or data frame of cases to be classified.
...	Arguments based from or to other methods.

Details

This function is a method for the generic function predict() for class pcalda. If newdata is omitted, the results of training data in pcalda object will be returned.

Value

A list with components:

class	The predicted class (a factor).
posterior	The posterior probabilities for the predicted classes.
x	The rotated test data by the projection matrix of LDA.

Author(s)

Wanchang Lin

See Also

pcalda, plot.pcalda

Examples

data(iris3)

tr    <- sample(1:50, 25)
train <- rbind(iris3[tr,,1], iris3[tr,,2], iris3[tr,,3])
test  <- rbind(iris3[-tr,,1], iris3[-tr,,2], iris3[-tr,,3])
cl    <- factor(c(rep("s",25), rep("c",25), rep("v",25)))

z     <- pcalda(train, cl)
pred  <- predict(z, test)

## plot the projected data.
grpplot(pred$x, pred$class, main="PCALDA: Iris") 

mt documentation built on June 22, 2024, 12:24 p.m.