我正在尝试使用FactoMineR在数据集上运行MCA，并且尽管我的数据是Y / N（即非数字二进制1/0），仍然会收到此错误：
错误（unlist（lapply（listModa，is.numeric）））：'哪个'不合逻辑的参数
我已经读过R分类数据与因子类型有关，所以即使你有字符也可以得到这个错误。但我不知道“因素类型”的含义，或者我如何改变它。我一直在尝试使用这段代码：
require(FactoMineR)
head(mydata)
cats = apply(mydata, 2, function(x) nlevels(as.factor(x)))
mca1 = MCA(mydata, graph = FALSE)
我是一个完整的R新手并且不了解很多编码语言但是真的想学习！任何帮助将非常感谢，因为这是一个硕士项目
> dput(head(mydata))
structure(list(Icthyosaur = c("Y", "Y", "N", "N", "Y", "N"),
Plesiosaur = c("N", "N", "Y", "N", "N", "N"), Pliosaur = c("N",
"N", "N", "Y", "N", "N"), Crocodile = c("N", "N", "N", "N",
"N", "Y"), `Bite mark` = c("Y", "Y", "N", "N", "Y", "Y"),
`Mechanical stress` = c("N", "N", "Y", "N", "N", "N"), `Erosive arthrosis` = c("N",
"N", "N", "Y", "N", "N"), Fracture = c("N", "N", "N", "N",
"N", "N"), Exostoses = c("N", "N", "N", "N", "N", "N"), `Vertebral Fusion ` = c("N",
"N", "N", "N", "N", "N"), Cranial = c("Y", "N", "N", "Y",
"N", "Y"), Appendicular = c("N", "Y", "N", "N", "N", "N"),
Axial = c("N", "N", "Y", "N", "Y", "N"), Pelvic = c("N",
"N", "N", "N", "N", "N"), Pectoral = c("N", "N", "N", "N",
"N", "N")), .Names = c("Icthyosaur", "Plesiosaur", "Pliosaur",
"Crocodile", "Bite mark", "Mechanical stress", "Erosive arthrosis",
"Fracture", "Exostoses", "Vertebral Fusion ", "Cranial", "Appendicular",
"Axial", "Pelvic", "Pectoral"), call = "XLGetRange(file = \"C:\\\\Users\\\\Ally\\\\Documents\\\\MSci Project\\\\ImportR.xlsx\", sheet = \"Sheet1\",\n range = c(\"A1:O124\"),\n as.data.frame = TRUE, header = TRUE, stringsAsFactors = FALSE)", row.names = c(NA,
6L), class = "data.frame")
> mca1 = MCA(mydata, graph = FALSE)
Error in which(unlist(lapply(listModa, is.numeric))) :
argument to 'which' is not logical
> traceback()
3: which(unlist(lapply(listModa, is.numeric)))
2: tab.disjonctif(X[, act, drop = FALSE])
1: MCA(mydata, graph = FALSE)