Description Usage Arguments Value Author(s) See Also Examples

Plots a contour map of the sensitivity of the residual error of a breakage resistance model to variation of the fitted parameters. This should give some idea of the goodness of the fit.

1 2 3 |

`data` |
Measured breakage data as an XY list or data frame, with |

`fit` |
The fitting results list returned by |

`rho` |
Resistivity of the filler solution, in ohm centimetres. Must be the same value used for fitting or the plot will be incorrect. |

`l` |
The initial length of the pipette tip, in microns. Must be the same value used for fitting or the plot will be incorrect. |

`r.range` |
The range above and below the fitted inner radius result, |

`theta.range` |
The range above and below the fitted half-cone angle result, |

`steps` |
The total number of steps to evaluate in both directions. |

`nlevels` |
The number of contour lines to draw. |

`r.squared` |
Whether to plot the error value directly, or transform it to plot the coefficient of determination (or R-squared) instead. The latter is plotted by default. It contains the same information in marginally more convenient form, but its use might be considered misleading if taken as implying a linear model. |

`bound.at` |
A level at which to plot a significance contour. This is on top of the |

`...` |
Any additional parameters to be passed to the main |

`x` |
The x (theta) values of the plotted surface. |

`y` |
The y (radius) values of the plotted surface. |

`z` |
The z (error) values of the plotted surface. |

Matthew Caldwell

1 2 3 4 5 6 7 8 9 10 | ```
# fake up some breakage data
brks <- sort(abs(0.5 + rnorm(n=15, sd=0.5) * 1:15))
res <- resist.breakage(brks, theta=3*pi/180, r=0.04, rho=64) + rnorm(15)
dat <- list(x=brks, y=res)
# fit it
fit <- fit.breakage(dat, do.plot=FALSE)
# plot the sensitivity surface
fit.sensitivity.plot(dat, fit)
``` |

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