Returns the within-network state frequency table, partitioned by
actor. One row per (actor, state) pair, with count and
proportion columns. The data side of plot_frequencies_htna().
Arguments
- x
An htna network from
build_htna().
Details
Internally a thin wrapper around the htna S3 method shipped by
Nestimate (state_distribution.htna); exposed under the
frequencies_htna() name as the canonical "give me the frequency
table for this network" entry point.
Suffixed _htna to avoid clashing with Nestimate::frequencies()
(which takes raw long-format data and a column-name spec) when
both packages are loaded. If you have raw data rather than an htna
network, call Nestimate::frequencies() directly.
See also
plot_frequencies_htna() for the rendered version,
state_distribution_htna() (same function under the upstream
name), mosaic_plot_htna().
Examples
# \donttest{
data(human_ai)
net <- build_htna(human_ai, actor_type = "actor_type")
#> Warning: A network with one long sequence is not recommended and can't be validated using bootstrap and other confirmatory testings.
#> Metadata aggregated per session: ties resolved by first occurrence in 'session_date' (1 sessions), 'cluster' (42 sessions), 'actor_type' (24 sessions)
frequencies_htna(net)
#> group state count proportion
#> 1 AI Execute 3258 0.38100807
#> 2 Human Request 3104 0.28751389
#> 3 Human Specify 2920 0.27047054
#> 4 AI Ask 2416 0.28254005
#> 5 Human Frustrate 1829 0.16941460
#> 6 AI Plan 1620 0.18945153
#> 7 Human Check 1298 0.12022971
#> 8 Human Inquire 853 0.07901074
#> 9 Human Refine 792 0.07336050
#> 10 AI Report 705 0.08244650
#> 11 AI Delegate 295 0.03449889
#> 12 AI Repair 257 0.03005496
# }