plot.maxnet: Response plots for maxnet models

In maxnet: Fitting 'Maxent' Species Distribution Models with 'glmnet'

Description

Create response plots for each predictor in a maxnet model

Usage

## S3 method for class 'maxnet'
plot(x, vars = names(x$samplemeans), common.scale = T, 
   type = c("link", "exponential", "cloglog", "logistic"), ylab = NULL, ...)

response.plot(mod, v, type, mm=mod$samplemeans, min=mod$varmin[v], max=mod$varmax[v], 
   levels=unlist(mod$levels[v]), plot=T, xlab=v, ylab=tools::toTitleCase(type), ...)

Arguments

x	an object of class maxnet, i.e., a fitted model.
vars	vector of predictors for which response plots are desired.
common.scale	if true, all plots use the same scale on the y-axis.
type	type of response to plot on y-axis.
xlab	label for x-axis.
ylab	label for y-axis.
mod	a fitted model, must be of type maxnet if default values used for other arguments.
v	name of variable to be plotted.
mm	sample means (or majorities for factors) for predictors; predictors other than v are given these values.
min	minimum value of v; determines range of x-axis
max	maximum value of v; determines range of x-axis
levels	if v is a factor, determines levels to be plotted
plot	if false, don't draw the plot
...	passed to plot or barplot

Value

If plot is false, return a vector of y values, one for each factor or 100 ranging from min - 0.1*(max-min) to max + 0.1*(max-min).

Author(s)

Steven Phillips

maxnet documentation built on July 9, 2021, 5:08 p.m.