plot.maxnet: Create response plots for user selected predictors in a...

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

Create response plots for user selected predictors in a maxnet model

Description

Create response plots for user selected predictors in a maxnet model

Usage

## S3 method for class 'maxnet'
plot(
  x,
  vars = names(x$samplemeans),
  common.scale = TRUE,
  type = c("link", "exponential", "cloglog", "logistic"),
  ylab = NULL,
  plot = TRUE,
  mar = c(5, 5, 4, 2),
  N = 100,
  ...
)

Arguments

x	an object of class maxnet, i.e., a fitted model.
vars	character, vector of predictors for which response plots are desired.
common.scale	logical, if true, all plots use the same scale on the y-axis.
type	character, type of response to plot on y-axis.
ylab	character, label for y-axis
plot	logical, if TRUE render a plot, if FALSE return a list of data frames with variable and response columns
mar	numeric, 4 element value for margins (lines, in order of bottom, left, top, right) See par for details.
N	numeric, the number of intervals over which to sample the response
...	other arguments passed to plot or barplot

Value

if plot is FALSE then return a list of data frames that contain variable and response columns otherwise NULL invisibly

See Also

response.plot

mrmaxent/maxnet documentation built on Jan. 12, 2023, 8:20 a.m.