plot.nnreg {funfits} | R Documentation |
This function creates four summary plots of the tps object. The first plot is a plot of the nnreg fit to the data. The second is predicted values vs residuals. The third is number of parameters vs GCV with cost=1 and cost=2. The fourth plot is number of parameters vs root mean squared error.
plot.nnreg(out, model=out$best.model, main=NA, digits=4, graphics.reset=T, ...)
out |
A nnreg object |
model |
Model number to plot. Default is the best model based on GCV(2). |
main |
Title of the plot. Default is the function call. |
digits |
Number of significant digits for the RMSE label. |
graphics.reset |
Reset to original graphics parameters after function plotting. |
... |
Any plotting arguments. |
nnreg, summary.nnreg
nnreg(ozone$x,ozone$y,1,2) -> fit # fitting a surface to ozone # measurements, from 1 to 2 hidden units plot(fit) # plots fit and residuals nnreg(as.matrix(BD[,1:4]),BD[,5],1,5) -> fit # fitting DNA strand # displacement amplification surface to various buffer compositions plot(fit) # plots fit and residuals