Description Usage Arguments Value Author(s) Examples
Returns QCA results for a given minimum frequency threshold across an arbitrarily large set of sufficiency inclusion scores
1 2 | QCA.sim.inclcut(data, outcome, conditions=NULL,
min.incl.cut, max.incl.cut, n.cut, reps, ...)
|
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 |
A data frame containing combinations of sufficiency inclusion scores and QCA solutions
Chris Krogslund, http://ckro.gs; ckrogslund@berkeley.edu
1 2 3 4 5 6 7 8 9 10 | 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)
|
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