plot.nn: Plot method for neural networks
In neuralnet: Training of Neural Networks

Description Usage Arguments Author(s) See Also Examples

plot.nn, a method for the plot generic. It is designed for an inspection of the weights for objects of class nn, typically produced by neuralnet.

## S3 method for class 'nn'
plot(x, rep = NULL, x.entry = NULL, x.out = NULL,
  radius = 0.15, arrow.length = 0.2, intercept = TRUE,
  intercept.factor = 0.4, information = TRUE, information.pos = 0.1,
  col.entry.synapse = "black", col.entry = "black",
  col.hidden = "black", col.hidden.synapse = "black",
  col.out = "black", col.out.synapse = "black",
  col.intercept = "blue", fontsize = 12, dimension = 6,
  show.weights = TRUE, file = NULL, ...)

`x`	an object of class `nn`
`rep`	repetition of the neural network. If rep="best", the repetition with the smallest error will be plotted. If not stated all repetitions will be plotted, each in a separate window.
`x.entry`	x-coordinate of the entry layer. Depends on the arrow.length in default.
`x.out`	x-coordinate of the output layer.
`radius`	radius of the neurons.
`arrow.length`	length of the entry and out arrows.
`intercept`	a logical value indicating whether to plot the intercept.
`intercept.factor`	x-position factor of the intercept. The closer the factor is to 0, the closer the intercept is to its left neuron.
`information`	a logical value indicating whether to add the error and steps to the plot.
`information.pos`	y-position of the information.
`col.entry.synapse`	color of the synapses leading to the input neurons.
`col.entry`	color of the input neurons.
`col.hidden`	color of the neurons in the hidden layer.
`col.hidden.synapse`	color of the weighted synapses.
`col.out`	color of the output neurons.
`col.out.synapse`	color of the synapses leading away from the output neurons.
`col.intercept`	color of the intercept.
`fontsize`	fontsize of the text.
`dimension`	size of the plot in inches.
`show.weights`	a logical value indicating whether to print the calculated weights above the synapses.
`file`	a character string naming the plot to write to. If not stated, the plot will not be saved.
`...`	arguments to be passed to methods, such as graphical parameters (see `par`).

Stefan Fritsch, Frauke Guenther guenther@leibniz-bips.de

neuralnet

XOR <- c(0,1,1,0)
xor.data <- data.frame(expand.grid(c(0,1), c(0,1)), XOR)
print(net.xor <- neuralnet( XOR~Var1+Var2, xor.data, hidden=2, rep=5))
plot(net.xor, rep="best")