Generates rankings of treatments based on extracted DSP functional descriptors.
Usage
rank_dsp(
summary_data,
metrics = c("protected_area", "max_suppression", "persistence", "centroid"),
higher_is_better = TRUE,
group = NULL,
ties.method = "average"
)Arguments
- summary_data
The tibble output from
functional_summary.- metrics
Character vector of metrics to rank.
- higher_is_better
Logical vector or named logical vector indicating if higher values are better for each metric. If a single logical, applies to all.
- group
Optional character vector of grouping variables.
- ties.method
Character string specifying how to handle ties. Default is
"average".