Summarise an hgsi_fit object
Usage
# S3 method for class 'hgsi_fit'
summary(object, ...)Examples
fit <- structure(
list(traits = "YLD",
evaluation_label = c(YLD = "honest_discovery_in_fold"),
model_used = c(YLD = "gblup"),
ids = sprintf("IND%02d", 1:5),
parents = data.frame(id = sprintf("IND%02d", 1:5), index = 5:1),
cv_summary = data.frame(trait = "YLD", method = "M0", r = 0.5),
cv_compare = data.frame(trait = "YLD", method = "M3",
baseline = "M0", mean_diff = 0.01),
warnings = character(0),
output_dir = tempdir()),
class = c("hgsi_fit", "list"))
summary(fit)
#> <hgsi_fit>
#> traits : YLD
#> evaluation : YLD=honest_discovery_in_fold
#> models : YLD=gblup
#> n individuals: 5
#> parents : 5 ranked
#> fit file : /tmp/RtmpPX7qAP/hgsi_fit.rds
#>
#> Cross-validation summary:
#> trait method r
#> YLD M0 0.5
#>
#> Comparisons:
#> trait method baseline mean_diff
#> YLD M3 M0 0.01
#>
#> Top 10 parents:
#> id index
#> 1 IND01 5
#> 2 IND02 4
#> 3 IND03 3
#> 4 IND04 2
#> 5 IND05 1
