Description Usage Arguments Value Author(s) References See Also Examples

Shows the neighborhood corresponding to the left-to-right then top-to-bottom raster scan order with additional information: variable names of the data frame returned by `dataPrep`

, predictors used in the model returned by `surfacemodel`

, or their percentage importance in the model (currently extracted from the `rpart`

object). This function is useful for choosing a good neighborhood size and understanding relationship between pixels (e.g., periodicity).

1 |

`model` |
either the object returned by |

`what` |
what to show in the neighorhood. |

`plot.it` |
if |

A matrix that contains the information for the plot (using the `grid.table`

function).

Anh Bui

Bui, A.T. and Apley., D.W. (2018a) "A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics, 60, 1-13.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
## show the neighorhood with variables names of the data frame constructed by dataPrep()
img <- matrix(1:25, 5, 5) # an image of size 5x5 pixels
img
dataPrep(img, 2)
showNb(c(2, 2, 2)) # showNb(2) has the same effect
## show the neighorhood with predictors and their importance used in the model returned
## by surfacemodel()
img <- sarGen(m = 100, n = 100, border = 50) # training image
model <- surfacemodel(img, nb = 3)
showNb(model, "predictors") # show predictors
showNb(model, "importance") # show predictor percentage importance
``` |

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