Visualise scalar-on-function regression data — lg_plot • laggar

Plots the response, covariate matrix and index matrix for a given SoFR term

Usage

lg_plot(...)

# S3 method for class 'sf'
lg_plot(data, ...)

# S3 method for class 'data.frame'
lg_plot(
  data,
  response = "response",
  covariate = "covariate",
  index = "index",
  widths = c(0.1, 0.5, 0.5),
  ...
)

# S3 method for class 'list'
lg_plot(
  data,
  response = "response",
  covariate = "covariate",
  index = "index",
  widths = c(0.1, 0.5, 0.5),
  ...
)

Arguments

...: Other arguments passed to patchwork::wrap_plots()
data: Either a data.frame, sf object, or a list
response: string giving the name of the column with the response in it
covariate: string giving the name of the matrix-column with covariate values in it
index: string giving the name of the matrix-column with index values in it
widths: the widths of the different plots

Value

a patchwork combination of ggplot2 objects

Methods (by class)

lg_plot(sf): sf interface
lg_plot(data.frame): data.frame interface
lg_plot(list): list interface