plot_eigenvalues: Plot eigenvalues of the S-map (coefficient) matrices

In ha0ye/portalDS: Compute Dynamic Stability for Rodents at Portal

Description

plot_eigenvalues() visualizes the dominant eigenvalue(s) from running the S-map model on the community time series

plot_svd_values() visualizes the dominant singular value(s) from running the S-map model on the community time series

Usage

plot_eigenvalues(eigenvalues, num_values = 1, id_var = "censusdate",
  highlight_complex = FALSE, line_size = 1, base_size = 16,
  plot_file = NULL, width = 6, height = NULL)

plot_svd_values(singular_values, num_values = 1, id_var = "censusdate",
  line_size = 1, base_size = 16, plot_file = NULL, width = 6,
  height = NULL)

Arguments

eigenvalues	a list of vectors for the eigenvalues: the number of elements in the list corresponds to the time points of the s-map model, and each element is a vector of the eigenvalues, computed from the matrix of the s-map coefficients at that time step
num_values	the number of eigenvalues to plot
id_var	when constructing the long-format tibble, what should be the variable name containing the time index
highlight_complex	whether to also draw points to indicate when the dominant eigenvalue is complex
line_size	the line width for the plot
base_size	the base font size
plot_file	the filepath to where to save the plot; if NULL (the default), then the plot is not saved to a file
width	width of the saved plot
height	height of the saved plot
singular_values	a list of vectors for the singular values: the number of elements in the list corresponds to the time points of the s-map model, and each element is a vector of the singular values, computed from the matrix of the s-map coefficients at that time step

Value

A ggplot object of the plot

ha0ye/portalDS documentation built on March 28, 2020, 1:21 p.m.