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).
showNb(model, what = c("neighborhood", "predictors", "importance"), plot.it = TRUE)
either the object returned by
what to show in the neighorhood.
A matrix that contains the information for the plot (using the
Bui, A.T. and Apley., D.W. (2018a) "A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics, 60, 1-13.
## 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
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.