QCA.sim.inclcut: QCA Sufficiency Inclusion Score Simulation

In jmedzihorsky/qca.sim: qca.sim

Description

Returns QCA results for a given minimum frequency threshold across an arbitrarily large set of sufficiency inclusion scores

Usage

QCA.sim.inclcut(data, outcome, conditions=NULL, 
    min.incl.cut, max.incl.cut, n.cut, reps, ...)

Arguments

data	an object of class 'data.frame'
outcome	a character string or column index indicating the outcome variable
conditions	optional character vector or vector of column indices indicating explanatory variables
min.incl.cut	numeric lower bound for sampling of sufficiency inclusion scores
max.incl.cut	numeric upper bound for sampling of sufficiency inclusion scores
n.cut	numeric minimum frequency threshold
reps	number of sufficiency inclusion score pairs to be sampled
...	optional arguments passed to eqmcc()

Value

A data frame containing combinations of sufficiency inclusion scores and QCA solutions

Author(s)

Chris Krogslund, http://ckro.gs; [e-mail]

Examples

protest.data<-read.csv(file="http://philhoward.org/wp-content/
    uploads/2012/11/International-Studies-Review-Replication-Data.csv")
protest.data<-protest.data[,!colnames(protest.data) 

QCA.sim.inclcut(data=protest.data, outcome="success", 
    min.incl.cut=0, max.incl.cut=1, n.cut=1, reps=100)

QCA.sim.inclcut(data=protest.data, outcome="success", 
    conditions=c("mobile", "fuel"), min.incl.cut=0, 
    max.incl.cut=1, n.cut=1, reps=100)

jmedzihorsky/qca.sim documentation built on May 19, 2019, 1:53 p.m.