response: Get partial response data

In predicts: Spatial Prediction Tools

Get partial response data

Description

Get partial response data.

Usage

partialResponse(model, data, var=NULL, rng=NULL, nsteps=25, plot=TRUE, nr, nc, ...)
partialResponse2(model, data, var1, var2, var2levels, rng=NULL, nsteps=25, ...)

Arguments

model	a model object
data	data.frame with data for all model variables
var	character or positive integer to identify the variable(s) of interest in data. If this is NULL, the partial response is computed for all variables
var1	character or positive integer to identify the variable of interest in data
var2	character. A second variable of interest
var2levels	character. The levels of the second variable to consider
rng	optional vector of two numbers to set the range or the variable
nsteps	positive integer. Number of steps to consider for the variable
plot	logical. If TRUE, the responses are plotted
nc	positive integer. Optional. The number of columns to divide the plotting device in (when plotting multiple variables)
nr	positive integer. Optional. The number of rows to divide the plotting device in (when plotting multiple variables)
...	model specific additional arguments passed to predict

Value

list (invisible if plot=TRUE)

Examples

fsp <- system.file("/ex/bradypus.csv", package="predicts")
occ <- read.csv(fsp)[,-1]
f <- system.file("ex/bio.tif", package="predicts")
preds <- rast(f)[[c(1,7,9)]]
v <- extract(preds, occ, ID=FALSE)

bc <- envelope(v)

pr <- partialResponse(bc, data=v, var=c("bio1", "bio12"), nsteps=30)
str(pr)

predicts documentation built on Oct. 7, 2024, 9:06 a.m.