Plot fitted model and data
plot-ratecount.RdThis 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.
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").
- CI_style
Logical, if TRUE, plots predicted lines with confidence interval style shading; if FALSE, plots predicted lines as solid lines with random levels and data points
- 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.