is.significant {arules} | R Documentation |
Provides the generic functions and the S4 method is.significant
to find rules where the LHS and the RHS depend on each other. This uses
Fisher's exact test and corrects for multiple comparisons.
is.significant(x, transactions, method = "fisher", alpha = 0.01, adjust = "bonferroni")
x |
a set of rules. |
transactions |
set of transactions used to mine the rules. |
method |
test to use. Options are
|
alpha |
required significance level. |
adjust |
method to adjust for multiple comparisons. Options are
|
returns a logical vector indicating which rules are significant.
Michael Hahsler
data("Income") rules <- apriori(Income, parameter = list(support = 0.5)) is.significant(rules, Income) inspect(rules[is.significant(rules, Income)])