【发布时间】:2020-06-17 08:19:37
【问题描述】:
您好,我正在寻找最小化以下数据集的 Quine McCluskey 算法
df3
Party Deficit EDP FRI NegRate
Belgium 2014-18 0 0 0 0 0
France 2013-15 1 1 1 1 1
France 2015-17 1 1 0 1 0
France 2018-19 0 0 0 1 0
Italy 2013-17 1 0 0 0 0
italy 2018-19 1 0 0 0 1
Spain 2012-17 0 1 1 0 1
Spain 2018-19 1 0 0 0 0
Portugal 2012-17 0 1 1 0 1
Portugal 2018-19 1 0 0 0 0
greece 2012-15 0 1 1 1 1
greece 2016-19 1 0 0 1 0
Ireland 2013-16 0 1 0 1 0
Ireland 2017-19 0 0 0 1 0
Cyprus 2013-16 0 1 1 1 0
Cyprus 2016-19 0 0 0 0 0
Finland 2012-14 0 0 0 1 0
Finland 2015-19 0 0 0 0 1
Slovenia 2013-14 0 1 1 1 1
Slovenia 2015-16 0 0 1 1 0
Slovenia 2016-19 0 0 0 1 0
Lithuania 2013-16 1 0 0 0 0
Lithuania 2017-19 0 0 0 0 0
Latvia 2014-16 0 0 0 0 0
Latvia 2017-19 0 0 0 0 0
Malta 2013-15 1 0 1 1 0
Malta 2017-19 1 0 0 0 0
我已经成功完成了Truthtable,
Truth<- truthTable(df3, outcome = "NegRate", complete = TRUE, show.cases = TRUE, sort.by = c("incl", "n"))
Truth
但是当我尝试最小化时:
df3.qm <- minimize(Truth, method = "QMC", details = TRUE, show.cases = TRUE)
df3.qm
出现:“错误:条件 'partyd' 与“snames”参数中的集合名称不匹配。”
有人知道如何解决这个问题吗?
【问题讨论】:
标签: r algorithm minimization