Summary Method for net_bootstrap_group
Usage
# S3 method for class 'net_bootstrap_group'
summary(object, ...)Examples
# \donttest{
set.seed(1)
seqs <- data.frame(
V1 = c("A","B","A","C","B","A"),
V2 = c("B","C","B","A","C","B"),
V3 = c("C","A","C","B","A","C"),
grp = c("X","X","X","Y","Y","Y")
)
nets <- build_network(seqs, method = "relative", group = "grp")
boot <- bootstrap_network(nets, iter = 20)
summary(boot)
#> group from to weight mean sd p_value sig ci_lower ci_upper
#> 1 X A B 1 0.80 0.4103913 0.23809524 FALSE 0.000 1
#> 2 X B C 1 1.00 0.0000000 0.04761905 TRUE 1.000 1
#> 3 X C A 1 0.80 0.4103913 0.23809524 FALSE 0.000 1
#> 4 Y A B 1 0.95 0.2236068 0.09523810 FALSE 0.475 1
#> 5 Y B C 1 0.95 0.2236068 0.09523810 FALSE 0.475 1
#> 6 Y C A 1 0.90 0.3077935 0.14285714 FALSE 0.000 1
#> cr_lower cr_upper
#> 1 0.75 1.25
#> 2 0.75 1.25
#> 3 0.75 1.25
#> 4 0.75 1.25
#> 5 0.75 1.25
#> 6 0.75 1.25
# }