Aggregation of individual configurations over partition-specific models

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.

Usage

upset_configurations(df, nsets)

Arguments

df

Dataframe created with partition_min or partition_min_inter.

nsets

Number of sets to include in plot (default is 5).

Value

An UpSet plot produced with upset.

Examples

# load data from Grauvogel (2014; see data documentation)

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)