BiodiversityR (version 2.7-2)

nnetrandom: Calculate the NNET Result with the Smallest Value from Various Random Starts

Description

This function provides the best solution from various calls to the nnet feed-forward artificial neural networks function (nnet).

Usage

nnetrandom(formula,data,tries=10,leave.one.out=F,...)

Arguments

formula

Formula as passed to nnet.

data

Data as passed to nnet.

tries

Number of calls to nnet to obtain the best solution.

leave.one.out

Calculate leave-one-out predictions.

...

Other arguments passed to nnet.

Value

The function returns the same components as nnet, but adds the following components:

Details

This function makes various calls to nnet. If desired by the user, leave-one-out statistics are provided that report the prediction if one particular sample unit was not used for iterating the networks.

Examples

## Not run: 
# data(faramea)
# faramea <- na.omit(faramea)
# faramea$presence <- as.numeric(faramea$Faramea.occidentalis > 0)
# attach(faramea)
# library(nnet)
# result <- nnetrandom(presence ~ Elevation, data=faramea, size=2, 
#     skip=FALSE, entropy=TRUE, trace=FALSE, maxit=1000, tries=100, 
#     leave.one.out=FALSE)
# summary(result)
# result$fitted.values
# result$value
# result2 <- nnetrandom(presence ~ Elevation, data=faramea, size=2, 
#     skip=FALSE, entropy=TRUE, trace=FALSE, maxit=1000, tries=50, 
#     leave.one.out=TRUE)
# result2$range
# result2$CV
# result2$successful
# ## End(Not run)