hinge {maxnet} | R Documentation |
Maxent feature classes
Description
Create and evaluate Maxent's feature classes
Usage
hinge(x, nknots = 50)
thresholds(x, nknots=50)
categorical(x)
Arguments
x |
a predictor: a factor for categorical, otherwise numeric. |
nknots |
number of knots. |
Value
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.
Author(s)
Steven Phillips
Examples
library(maxnet)
data(bradypus)
hinge(bradypus$tmp6190_ann,nknots=10)
categorical(bradypus$ecoreg)