Description Usage Arguments Value See Also Examples
qcapower
allows you to estimate power for a term. Probability
is the probability of rejecting the null hypothesis that no set relation
is in plaace when it is in place, in fact. A term can be a single condition,
a conjunction, or a disjunction of any combination of the two.
1 2 3 4 5 6 7 8 9 10 | qcapower(
cases,
null_hypo,
alt_hypo,
sims = 1000,
perms = 10000,
alpha = 0.05,
cons_threshold = 0.01,
set_seed = 135
)
|
cases |
Number of cases. In fuzzy-set QCA, equal to total number of cases in the analysis |
null_hypo |
Null hypothesis (H0). Consistency value separating consistent from inconsistent terms. It is the highest possible consistency value that would let you conclude that no set relation is given. |
alt_hypo |
Alternative hypothesis (H1). Expected, actual consistency value of term. |
sims |
Number of simulations for calculating power |
perms |
Number of permutations of hypothetical dataset per simulation run |
alpha |
Level of alpha at which statistical significance of H0 is tested |
cons_threshold |
Degree of tolerance in generating hypothetical data
with consistency equaling |
set_seed |
Parameter for achieving reproducibility of estimate |
A dataframe with rows equaling the number of sims
.
power
is the power estimate and is identical for each rows.
powercum
is the running power estimate up to this row. quant
is the 5%-quantile of the permuted distributions. See the vignette for
more information.
1 2 |
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