Description Usage Arguments Value Examples
View source: R/AssociationRules.R
This is a rule-based machine learning method to discover interesting relationships between a consequent and an antecedent (or group of antecedents) in large databases.
1 | AssociationRules(data, support = 0.2, confidence = 0.1, minlength = 2)
|
data |
a data frame with discrete variables. |
support |
a numeric value for the minimun support of the antecedents (default: 0.2). |
confidence |
a numeric value for the minimun confidence of confidence in rule/association method (default: 0.8) |
minlength |
an integer value for the minimal number of items per item set (default: 2 item) |
A MLA object of subclass Association
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