density.gradientForest {gradientForest} | R Documentation |
Extracts Gaussian kernel density estimates for a specified physical variable.
## S3 method for class 'gradientForest' density(x, predictor, ...) ## S3 method for class 'combinedGradientForest' density(x, predictor, gridded=F, gf.name, ...)
x |
an object of class |
predictor |
name of predictor variable. |
gridded |
if |
gf.name |
name of the |
... |
further arguments passed to or from other methods. |
Provides Gaussian kernel density estimates for a specified physical variable.
N. Ellis, CSIRO, Cleveland, Australia. <Nick.Ellis@csiro.au>
Ellis, N., Smith, S.J., and Pitcher, C.R. (2012) Gradient Forests: calculating importance gradients on physical predictors. Ecology, 93, 156–168.
gradientForest
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data(CoMLsimulation) preds <- colnames(Xsimulation) specs <- colnames(Ysimulation) f1 <- gradientForest(data.frame(Ysimulation,Xsimulation), preds, specs, ntree=10) density(f1,preds[1]) f2 <- gradientForest(data.frame(Ysimulation,Xsimulation), preds, specs[1:6+6], ntree=10) f12 <- combinedGradientForest(west=f1,east=f2) density(f12,preds[1])