Plot fitted model and data

This function takes wisp model results (a fitted line) and observed data (counts) and plots them together for visual comparison. It can also include independent block boundaries for comparison if provided.

Usage

plot.ratecount(wisp.results, pred.type = "pred.log", count.type = "count.log", dim.boundaries = c(), print.all = FALSE, y.lim = NA, count.alpha.none = NA, count.alpha.ran = NA, pred.alpha.none = NA, pred.alpha.ran = NA, rans.to.print = c(), speciess.to.print = c(), verbose = TRUE)

Arguments

wisp.results

List, output of the wisp function.

pred.type

Character string, the name of the predicted rate column in the count data (e.g., "pred.log" or "pred").

count.type

Character string, the name of the observed count column in the count data (e.g., "count.log" or "count").

dim.boundaries

Numeric vector, independent block boundaries to plot for comparison. If empty, the argument is ignored.

print.all

Logical, if TRUE, prints all plots; if FALSE, only returns plots in list without printing any.

y.lim

Numeric vector of length 2, limits for the y-axis of the plots. If NA, defaults to automatic limits.

count.alpha.none

Numeric, transparency for count points when random level is "none". If left NA, defaults to 0.25.

count.alpha.ran

Numeric, transparency for count points when random level is not "none". If left NA, defaults to 0.25.

pred.alpha.none

Numeric, transparency for predicted lines when random level is "none". If left NA, defaults to 1.0.

pred.alpha.ran

Numeric, transparency for predicted lines when random level is not "none". If left NA, defaults to 0.9.

rans.to.print

Character vector, list of random levels to include on each species plot. If c(), all random levels are included.

speciess.to.print

Character vector, list of species levels to place on their own plot. If c(), all species levels are plotted individually.

verbose

Logical, if TRUE, prints updates about the plotting process.

Value

List of ggplot objects for rate-count plots.