upset_conditions: Aggregation of individual conditions over partition-specific...

In QCAcluster: Tools for the Analysis of Clustered Data in QCA

Description

Models that have been derived for individual partitions are first decomposed into conditions, that is single conditions or conditions that are INUS (insufficient conditions that are necessary parts of a conjunction that is unnecessary and sufficient). The individual conditions are aggregated using UpSet plots to determine how frequent they are individually and in combination.

Usage

upset_conditions(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

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_conditions(GS_pars, nsets = 5)

QCAcluster documentation built on Oct. 26, 2021, 5:06 p.m.