R/upset_configurations.R
upset_configurations.Rd
Models that have been derived for individual partitions are first decomposed into sufficient terms, that is single sufficient conditions or configurations. The individual terms are aggregated using UpSet plots to determine how frequent they are individually and in combination.
upset_configurations(df, nsets)
df | Dataframe created with |
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nsets | Number of sets to include in plot (default is 5). |
An UpSet plot produced with upset
.
data(Grauvogel2014) GS_pars <- partition_min( dataset = Grauvogel2014, units = "Sender", cond = c("Comprehensiveness", "Linkage", "Vulnerability", "Repression", "Claims"), out = "Persistence", n_cut = 1, incl_cut = 0.75, solution = "P", BE_cons = rep(0.75, 3), BE_ncut = rep(1, 3)) upset_configurations(GS_pars, nsets = 4)