用R作图时的非数值矩阵范围误差

Question

矩阵误差（均值（范围）,ncol=ncol(x),nrow=nrow(x),dimnames=dimnames(x)）：非数值矩阵范围

然而，我记得几个月前曾看到过其他案例，其中arulesViz库是以类别数据类型工作的。

landing.data=read.csv2("http://archive.ics.uci.edu/ml/machine-learning-databases/shuttle-landing-control/shuttle-landing-control.data", 
                           sep=",", header=F, dec=".")
    landing.data=as.data.frame(sapply(landing.data,gsub,pattern="\\*",replacement=10))
    library(arules)
    landing.system <- as(landing.data, "transactions")
    rules <- apriori(landing.system, parameter=list(support=0.01, confidence=0.6))
    rulesLandingManual <- subset(rules, subset=rhs %in% "V1=1" & lift>1.2)
    library(arulesViz)
    plot(head(sort(rulesLandingManual, by="confidence"), n=3),
         method="graph",control=list(type="items"))

Answer 1

在运行代码后执行traceback()会得到以下结果：

6: matrix(mean(range), ncol = ncol(x), nrow = nrow(x), dimnames = dimnames(x))
5: map(m, c(5, 20))
4: graph_arules(x, measure = measure, shading = shading, control, 
       ...)
3: plot.rules(head(sort(rulesLandingManual, by = "confidence"), 
       n = 3), method = "graph", control = list(type = "items"))
2: plot(head(sort(rulesLandingManual, by = "confidence"), n = 3), 
       method = "graph", control = list(type = "items"))
1: plot(head(sort(rulesLandingManual, by = "confidence"), n = 3), 
       method = "graph", control = list(type = "items"))

因此，基本上错误来自6:。该错误意味着参数matrix(.)都不是数值。为了说明这一点：

> matrix(1:4, ncol=2)

#      [,1] [,2]
# [1,]    1    3
# [2,]    2    4

> matrix(1:4, ncol="x")
# Error in matrix(1:4, ncol = "x") : non-numeric matrix extent

你看到错误了吗？我不认为您在这里能做什么，因为包将图、映射和矩阵扩展到规则类的对象。所以，这可能与开发人员端有很大关系。如果确实如此，很可能值得写/联系开发人员。