在r中按不同顺序按多列对关联规则进行排序

Question

我有交易数据和使用 arules 包生成的规则。我在按 confidence、按 chi 增加和按 support 减少排序时遇到困难。如果不转换为 dataframe，我该怎么做？

library(arules)
data(Groceries)
rules <- apriori(Groceries, parameter = list(support = 0.009, confidence = 0.25, minlen = 2))
quality(rules)$chi <- interestMeasure(rules, measure='chi', significance = TRUE, Groceries)

我试过了，但没用：

ordered.rules <- sort(sort(sort(rules, by ="confidence", decreasing = TRUE), by ="chi", decreasing = FALSE), by = "support", decreasing = TRUE)
inspect(ordered.rules[1:5])

library(dplyr)
rules %>% arrange(desc(rules@quality$confidence),rules@quality$chi, 
desc(rules@quality$support))

提前致谢！

Answer 1

我认为这应该可以解决问题：

ordered.rules2 <- sort(rules, 
  by = c(    "confidence", "chi",   "support"), 
  decreasing = c(TRUE,     FALSE,     TRUE))

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