plot.tps {funfits} | R Documentation |
This function creates four summary plots of the tps object. The first plot is a plot of the tps fit to the data. The second is predicted values vs residuals. The third is effective number of parameters vs GCV and the fourth is lambda vs GCV.
plot.tps(out, main=NA, digits=4, graphics.reset=T, ...)
out |
A tps object. |
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. |
tps, summary.tps
tps(ozone$x, ozone$y) -> fit # fitting a surface to ozone measurements plot(fit) # plots fit and residual plots tps(BD[,1:4],BD$lnya,scale.type="range") -> fit # fitting a DNA strand # displacement amplification surface to various buffer compositions plot(fit) # plots fit and residual plots