predict.surveynnet {surveynnet} | R Documentation |
Predict response from fitted nnet, using new data
Description
Predict response from fitted nnet, using new data
Usage
## S3 method for class 'surveynnet'
predict(object, newdat, ...)
Arguments
object |
The surveynnet object (returned by |
newdat |
The matrix or data frame of test examples. Must be of the same structure as the data matrix used to fit the surveynnet object. |
... |
arguments passed to or from other methods |
Value
The matrix/vector of values returned by the trained network. Note: it is possible
to pass type = "raw" or type = "class" as appropriate. See predict.nnet()
for more details.
Examples
# From the example in `surveynnet` help file:
y <- body_fat$pct_body_fat
x <- body_fat[,c("Weight_kg", "Height_cm", "Age")]
weight <- body_fat$survey_wt
strat <- body_fat$stratum
clust <- body_fat$cluster
y[strat==1] <- y[strat==1] + 30*0.00015*rnorm(sum(strat==1))
y[strat==2] <- y[strat==2] + 30*0.15*rnorm(sum(strat==2))
myout <- surveynnet(x,y,weight = weight, strat = strat, clust=clust)
newdat <- 2*x+rnorm(dim(x)[1])
predict(myout, newdat = newdat)
[Package surveynnet version 1.0.0 Index]