Aggregate ENR scores by clade

Summarise point-level ENR statistics at the clade level using weighted means (weights = n when available). Optionally require that "ABOVE-TREND" clades also sit on the lower-divergence side (x_mean <= median x_mean).

Usage

cladeENRtable(tb_points, z_cut = 1, require_low_x = TRUE)

Arguments

tb_points

A data.frame/tibble containing columns x,y,resid,ENRz,clade (and optionally n).

z_cut

Threshold on standardized excess (ENRz) to tag categories (default 1).

require_low_x

If TRUE, "ABOVE-TREND" must also have x_mean <= median x_mean.

Value

A tibble with one row per clade: clade, ENR (mean raw residual), ENRz (mean standardized), x_mean, y_mean, n_nodes, and ENR_label.

Examples

# tb_enr <- MRCAs(df, focal) |> computeENR()
# cladeENRtable(tb_enr, z_cut = 1)