Maxent feature classes
Create and evaluate Maxent's feature classes
hinge(x, nknots = 50) thresholds(x, nknots=50) categorical(x)
x |
a predictor: a factor for categorical, otherwise numeric. |
nknots |
number of knots. |
These functions are typically called by model.matrix rather than directly by a user. hinge, threshold and categorical return a matrix with a column for each feature of the specified type. hinge creates 2*nknots-2 hinge features, half with min=min(x) and half with max=max(x), and knots evenly spaced between min(x) and max(x). A hinge feature h(min,knot) or h(knot,max) is 0 if the predictor is below the first argument, 1 if the predictor is above the second argument, and linearly interpolated inbetween. A threshold feature is 1 if the predictor is above the knot, 0 otherwise. A categorical feature is 1 if the predictor matches the category and 0 otherwise.
Steven Phillips
library(maxnet) data(bradypus) hinge(bradypus$tmp6190_ann,nknots=10) categorical(bradypus$ecoreg)
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