Console summary of a completed [hbr_advanced_decision()] or [hbr_cross_design()] run: evaluation labels, traits, models, parent and cross counts, block and set summaries, genetic-map source and any warnings recorded during the run.
Usage
# S3 method for class 'hgsi_advanced'
print(x, ...)Examples
x <- structure(
list(evaluation_label = c(YLD = "honest_discovery_in_fold"),
traits = "YLD",
model_used = c(YLD = "gblup"),
ids = sprintf("IND%02d", 1:5),
parents = data.frame(id = sprintf("IND%02d", 1:5), index = 5:1),
crosses = data.frame(parent_a = "IND01", parent_b = "IND02",
uc = 1.2),
map_source = "bundled rice map",
warnings = character(0),
output_dir = tempdir()),
class = c("hgsi_advanced", "list"))
print(x)
#> <hgsi_advanced>
#> evaluation : YLD=honest_discovery_in_fold
#> traits : YLD
#> models : YLD=gblup
#> n individuals: 5
#> parents : 5 ranked
#> crosses : 1
#> map source : bundled rice map
#> output : /tmp/RtmpPX7qAP