basicspace (version 0.13)

predict.blackbox: Predict method of blackbox objects

Description

predict.blackbox reads an blackbox object and uses the estimates to generate a matrix of predicted values.

Usage

## S3 method for class 'blackbox':
predict(object, dims=1, ...)

Arguments

object

A blackbox output object.

dims

Number of dimensions used in prediction. Must be equal to or less than number of dimensions used in estimation.

...

Ignored.

Value

• A matrix of predicted values generated from the parameters estimated from a blackbox object.

See Also

'blackbox', 'Issues1980'

Examples

## Estimate blackbox object from example and call predict function
## Need to make missing data recodes as well
data(Issues1980)
Issues1980[Issues1980[,"abortion1"]==7,"abortion1"] <- 8
Issues1980[Issues1980[,"abortion2"]==7,"abortion2"] <- 8
result <- blackbox(Issues1980, missing=c(0,8,9), verbose=FALSE, dims=3, minscale=8)
prediction <- predict.blackbox(result,dims=3)

## Examine predicted vs. observed values for first 10 respondents
## Note that 4th and 6th respondents are NA because of missing data
Issues1980[1:10,]
prediction[1:10,]

## Check correlation across all predicted vs. observed, excluding missing values
prediction[which(Issues1980 %in% c(0,8,9))] <- NA
cor(as.numeric(prediction), as.numeric(Issues1980), use="pairwise.complete")